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Browse files- README.md +11 -15
- chat_template.jinja +92 -31
- config.json +2 -2
- generation_config.json +1 -1
- openvino_config.json +3 -2
- openvino_detokenizer.bin +2 -2
- openvino_detokenizer.xml +22 -20
- openvino_model.bin +2 -2
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +2 -2
- openvino_tokenizer.xml +63 -61
- tokenizer.json +6 -6
- tokenizer_config.json +14 -4076
README.md
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---
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license: other
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license_name: lfm1.0
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license_link:
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base_model:
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- LiquidAI/LFM2.5-350M
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base_model_relation: quantized
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- ja
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- ko
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- es
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pipeline_tag: text-generation
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tags:
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- liquid
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- lfm2.5
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- edge
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@@ -27,9 +29,6 @@ library_name: openvino
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* Model creator: [LiquidAI](https://huggingface.co/LiquidAI)
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* Original model: [LFM2.5-350M](https://huggingface.co/LiquidAI/LFM2.5-350M)
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> **EXPERIMENTAL MODEL**
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> This model has not been fully validated with OpenVINO. It may be fully supported and validated in the future.
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## Description
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This is [LFM2.5-350M](https://huggingface.co/LiquidAI/LFM2.5-350M) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8 by [NNCF](https://github.com/openvinotoolkit/nncf).
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The provided OpenVINO™ IR model is compatible with:
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* OpenVINO version 2026.
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* Optimum Intel
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## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
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1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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```
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pip install optimum[openvino]
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```
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2. Run model inference:
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model = OVModelForCausalLM.from_pretrained(model_id)
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inputs = tokenizer("What is a capital of France?", return_tensors="pt")
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inputs.pop("token_type_ids", None)
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outputs = model.generate(**inputs,
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text = tokenizer.batch_decode(outputs)[0]
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print(text)
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```
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import openvino_genai as ov_genai
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device = "CPU"
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-
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pipe
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print(pipe.generate("What is a capital of France?", max_length=200))
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```
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More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://docs.openvino.ai/2026/openvino-workflow-generative/inference-with-genai.html) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
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You can find more detailed usage examples in OpenVINO Notebooks:
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- [
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- [RAG text generation](https://openvinotoolkit.github.io/openvino_notebooks/?search=RAG+system&tasks=Text+Generation)
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## Limitations
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## Legal information
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The original model is distributed under [lfm1.0](
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## Disclaimer
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---
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license: other
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license_name: lfm1.0
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license_link: LICENSE
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base_model:
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- LiquidAI/LFM2.5-350M
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base_model_relation: quantized
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- ja
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- ko
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- es
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- pt
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pipeline_tag: text-generation
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tags:
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- openvino
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- liquid
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- lfm2.5
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- edge
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* Model creator: [LiquidAI](https://huggingface.co/LiquidAI)
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* Original model: [LFM2.5-350M](https://huggingface.co/LiquidAI/LFM2.5-350M)
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## Description
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This is [LFM2.5-350M](https://huggingface.co/LiquidAI/LFM2.5-350M) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8 by [NNCF](https://github.com/openvinotoolkit/nncf).
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The provided OpenVINO™ IR model is compatible with:
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* OpenVINO version 2026.3.0 and higher
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* Optimum Intel built from the `main` branch
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## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
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1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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```
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pip install -U optimum[openvino] transformers==5.2.0 --extra-index-url https://download.pytorch.org/whl/cpu
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```
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2. Run model inference:
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model = OVModelForCausalLM.from_pretrained(model_id)
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inputs = tokenizer("What is a capital of France?", return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=200)
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text = tokenizer.batch_decode(outputs)[0]
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print(text)
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```
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import openvino_genai as ov_genai
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device = "CPU"
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pipe = ov_genai.LLMPipeline(model_path, device)
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print(pipe.generate("What is a capital of France?", max_new_tokens=200))
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```
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More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://docs.openvino.ai/2026/openvino-workflow-generative/inference-with-genai.html) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
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You can find more detailed usage examples in OpenVINO Notebooks:
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- [LFM2.5-350M](https://openvinotoolkit.github.io/openvino_notebooks/?search=LFM2.5-350M)
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## Limitations
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## Legal information
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The original model is distributed under [lfm1.0](LICENSE) license. More details can be found in [LFM2.5-350M](https://huggingface.co/LiquidAI/LFM2.5-350M).
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## Disclaimer
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chat_template.jinja
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{{- bos_token -}}
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{%- set
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{%-
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{%-
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{%- endif -%}
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{%- endfor -%}
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{%- endif -%}
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{%- set messages = messages[1:] -%}
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{%- endif -%}
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{%- if ns.system_prompt -%}
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{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
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{%- endif -%}
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{%- set ns.last_assistant_index = -1 -%}
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{%- for message in messages -%}
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{%- if message["role"] == "assistant" -%}
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{%- set ns.last_assistant_index = loop.index0 -%}
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{%- endif -%}
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{%- endfor -%}
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{%- for message in messages -%}
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{{- "<|im_start|>" + message
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{%-
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-
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{%- set
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{%-
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{
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{%-
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{%- if "</think>" in content -%}
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{%- set content = content.split("</think>")[-1] | trim -%}
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{%- endif -%}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{- "<|im_start|>assistant\n" -}}
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{%- endif -%}
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{{- bos_token -}}
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{%- set preserve_thinking = preserve_thinking | default(keep_past_thinking | default(false)) -%}
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{%- macro format_arg_value(arg_value) -%}
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{%- if arg_value is string -%}
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{{- "'" + (arg_value | replace("\\", "\\\\") | replace("'", "\\'") | replace("\n", "\\n") | replace("\r", "\\r")) + "'" -}}
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{%- elif arg_value is mapping or arg_value is iterable -%}
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{{- arg_value | tojson -}}
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{%- else -%}
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{{- arg_value | string -}}
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{%- endif -%}
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{%- endmacro -%}
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{%- macro parse_content(content) -%}
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{%- if content is string -%}
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{{- content -}}
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{%- elif content is mapping -%}
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{{- content | tojson -}}
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{%- elif content is iterable -%}
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{%- set _ns = namespace(result="") -%}
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{%- for item in content -%}
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{%- if item is string -%}
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{%- set _ns.result = _ns.result + item -%}
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{%- elif item is mapping and item.get("type") == "image" -%}
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{%- set _ns.result = _ns.result + "<image>" -%}
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{%- elif item is mapping and item.get("type") == "text" -%}
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{%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%}
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{%- else -%}
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{%- set _ns.result = _ns.result + (item | tojson) -%}
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{%- endif -%}
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{%- endfor -%}
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{{- _ns.result -}}
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{%- endif -%}
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{%- endmacro -%}
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+
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{%- macro render_tool_calls(tool_calls) -%}
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{%- set tool_calls_ns = namespace(tool_calls=[]) -%}
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{%- for tool_call in tool_calls -%}
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{%- set func = tool_call["function"] if "function" in tool_call else tool_call -%}
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{%- set func_name = func["name"] -%}
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{%- set func_args = func.get("arguments") -%}
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{%- set args_ns = namespace(arg_strings=[]) -%}
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{%- if func_args is mapping -%}
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{%- for arg_name, arg_value in func_args.items() -%}
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{%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + "=" + format_arg_value(arg_value)] -%}
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{%- endfor -%}
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{%- elif func_args is string and (func_args | trim) not in ["", "{}", "null"] -%}
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{{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}}
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{%- endif -%}
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{%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + "(" + (args_ns.arg_strings | join(", ")) + ")"] -%}
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{%- endfor -%}
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{{- "<|tool_call_start|>[" + (tool_calls_ns.tool_calls | join(", ")) + "]<|tool_call_end|>" -}}
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{%- endmacro -%}
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+
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{%- set ns = namespace(system_prompt="", last_assistant_index=-1) -%}
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{%- if messages and messages[0]["role"] == "system" -%}
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{%- if messages[0].get("content") -%}
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{%- set ns.system_prompt = parse_content(messages[0]["content"]) -%}
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{%- endif -%}
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{%- set messages = messages[1:] -%}
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{%- endif -%}
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{%- if ns.system_prompt -%}
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{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
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{%- endif -%}
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{%- for message in messages -%}
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{%- if message["role"] == "assistant" -%}
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{%- set ns.last_assistant_index = loop.index0 -%}
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| 81 |
{%- endif -%}
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| 82 |
{%- endfor -%}
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{%- for message in messages -%}
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{{- "<|im_start|>" + message.role + "\n" -}}
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| 85 |
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{%- if message.role == "assistant" -%}
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| 86 |
+
{%- generation -%}
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| 87 |
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{%- set keep_thinking = preserve_thinking or loop.index0 == ns.last_assistant_index -%}
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| 88 |
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{%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}
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| 89 |
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{%- set thinking = thinking if thinking is string else "" -%}
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{%- if thinking and keep_thinking -%}
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{{- "<think>" + thinking + "</think>" -}}
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{%- endif -%}
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| 93 |
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{%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%}
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| 94 |
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{%- set _has_cfm = false -%}
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| 95 |
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{%- set content = "" -%}
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| 96 |
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{%- if message.get("content") -%}
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| 97 |
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{%- set content = parse_content(message.content) -%}
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| 98 |
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{%- endif -%}
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| 99 |
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{%- if not keep_thinking and "</think>" in content -%}
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{%- set content = content.split("</think>")[-1] | trim -%}
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| 101 |
{%- endif -%}
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| 102 |
+
{%- if content.endswith(_cfm_tag) -%}
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| 103 |
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{%- set _has_cfm = true -%}
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| 104 |
+
{%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}
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{%- set content = content[:_trunc_len] -%}
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| 106 |
+
{%- endif -%}
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| 107 |
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{{- content -}}
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{%- if message.tool_calls -%}
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| 109 |
+
{{- render_tool_calls(message.tool_calls) -}}
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| 110 |
+
{%- endif -%}
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| 111 |
+
{%- if _has_cfm -%}
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| 112 |
+
{{- _cfm_tag -}}
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| 113 |
+
{%- endif -%}
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| 114 |
+
{{- "<|im_end|>\n" -}}
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| 115 |
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{%- endgeneration -%}
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| 116 |
+
{%- else %}
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| 117 |
+
{%- if message.get("content") -%}
|
| 118 |
+
{{- parse_content(message["content"]) -}}
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| 119 |
+
{%- endif -%}
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| 120 |
+
{{- "<|im_end|>\n" -}}
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| 121 |
+
{%- endif %}
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| 122 |
{%- endfor -%}
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| 123 |
{%- if add_generation_prompt -%}
|
| 124 |
{{- "<|im_start|>assistant\n" -}}
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| 125 |
+
{%- endif -%}
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config.json
CHANGED
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|
| 52 |
"rope_theta": 1000000.0,
|
| 53 |
"rope_type": "default"
|
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},
|
| 55 |
-
"rope_theta": 1000000.0,
|
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"tie_embedding": true,
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| 57 |
-
"
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| 58 |
"use_cache": true,
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| 59 |
"use_pos_enc": true,
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| 60 |
"vocab_size": 65536
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| 52 |
"rope_theta": 1000000.0,
|
| 53 |
"rope_type": "default"
|
| 54 |
},
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| 55 |
"tie_embedding": true,
|
| 56 |
+
"tie_word_embeddings": true,
|
| 57 |
+
"transformers_version": "5.2.0",
|
| 58 |
"use_cache": true,
|
| 59 |
"use_pos_enc": true,
|
| 60 |
"vocab_size": 65536
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generation_config.json
CHANGED
|
@@ -3,5 +3,5 @@
|
|
| 3 |
"bos_token_id": 1,
|
| 4 |
"eos_token_id": 7,
|
| 5 |
"pad_token_id": 0,
|
| 6 |
-
"transformers_version": "
|
| 7 |
}
|
|
|
|
| 3 |
"bos_token_id": 1,
|
| 4 |
"eos_token_id": 7,
|
| 5 |
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "5.2.0"
|
| 7 |
}
|
openvino_config.json
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"dtype": "",
|
| 3 |
"input_info": null,
|
| 4 |
-
"optimum_version": "2.
|
| 5 |
"output_attentions": false,
|
| 6 |
"quantization_config": {
|
|
|
|
| 7 |
"dataset": null,
|
| 8 |
"default_config": {
|
| 9 |
"quant_method": "default"
|
|
@@ -15,5 +16,5 @@
|
|
| 15 |
"tokenizer": "LiquidAI/LFM2.5-350M"
|
| 16 |
},
|
| 17 |
"save_onnx_model": false,
|
| 18 |
-
"transformers_version": "
|
| 19 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"dtype": "",
|
| 3 |
"input_info": null,
|
| 4 |
+
"optimum_version": "2.3.0",
|
| 5 |
"output_attentions": false,
|
| 6 |
"quantization_config": {
|
| 7 |
+
"_dataset_kwargs": {},
|
| 8 |
"dataset": null,
|
| 9 |
"default_config": {
|
| 10 |
"quant_method": "default"
|
|
|
|
| 16 |
"tokenizer": "LiquidAI/LFM2.5-350M"
|
| 17 |
},
|
| 18 |
"save_onnx_model": false,
|
| 19 |
+
"transformers_version": "5.2.0"
|
| 20 |
}
|
openvino_detokenizer.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3c1ce1a047e78fec2b22895ff200cbf9bf89f0a42325de0251bc84ad9f9e965d
|
| 3 |
+
size 911403
|
openvino_detokenizer.xml
CHANGED
|
@@ -1,16 +1,16 @@
|
|
| 1 |
<?xml version="1.0"?>
|
| 2 |
<net name="detokenizer" version="11">
|
| 3 |
<layers>
|
| 4 |
-
<layer id="0" name="
|
| 5 |
<data shape="?,?" element_type="i64" />
|
| 6 |
<output>
|
| 7 |
-
<port id="0" precision="I64" names="
|
| 8 |
<dim>-1</dim>
|
| 9 |
<dim>-1</dim>
|
| 10 |
</port>
|
| 11 |
</output>
|
| 12 |
</layer>
|
| 13 |
-
<layer id="1" name="
|
| 14 |
<data destination_type="i32" />
|
| 15 |
<input>
|
| 16 |
<port id="0" precision="I64">
|
|
@@ -25,7 +25,7 @@
|
|
| 25 |
</port>
|
| 26 |
</output>
|
| 27 |
</layer>
|
| 28 |
-
<layer id="2" name="
|
| 29 |
<data element_type="i32" shape="64402" offset="0" size="257608" />
|
| 30 |
<output>
|
| 31 |
<port id="0" precision="I32">
|
|
@@ -33,7 +33,7 @@
|
|
| 33 |
</port>
|
| 34 |
</output>
|
| 35 |
</layer>
|
| 36 |
-
<layer id="3" name="
|
| 37 |
<data element_type="i32" shape="64402" offset="257608" size="257608" />
|
| 38 |
<output>
|
| 39 |
<port id="0" precision="I32">
|
|
@@ -41,7 +41,7 @@
|
|
| 41 |
</port>
|
| 42 |
</output>
|
| 43 |
</layer>
|
| 44 |
-
<layer id="4" name="
|
| 45 |
<data element_type="u8" shape="394175" offset="515216" size="394175" />
|
| 46 |
<output>
|
| 47 |
<port id="0" precision="U8">
|
|
@@ -49,15 +49,15 @@
|
|
| 49 |
</port>
|
| 50 |
</output>
|
| 51 |
</layer>
|
| 52 |
-
<layer id="5" name="
|
| 53 |
-
<data element_type="i32" shape="
|
| 54 |
<output>
|
| 55 |
<port id="0" precision="I32">
|
| 56 |
-
<dim>
|
| 57 |
</port>
|
| 58 |
</output>
|
| 59 |
</layer>
|
| 60 |
-
<layer id="6" name="
|
| 61 |
<data skip_tokens="" />
|
| 62 |
<input>
|
| 63 |
<port id="0" precision="I32">
|
|
@@ -74,7 +74,7 @@
|
|
| 74 |
<dim>394175</dim>
|
| 75 |
</port>
|
| 76 |
<port id="4" precision="I32">
|
| 77 |
-
<dim>
|
| 78 |
</port>
|
| 79 |
</input>
|
| 80 |
<output>
|
|
@@ -95,7 +95,7 @@
|
|
| 95 |
</port>
|
| 96 |
</output>
|
| 97 |
</layer>
|
| 98 |
-
<layer id="7" name="
|
| 99 |
<input>
|
| 100 |
<port id="0" precision="I32">
|
| 101 |
<dim>-1</dim>
|
|
@@ -119,7 +119,7 @@
|
|
| 119 |
</port>
|
| 120 |
</output>
|
| 121 |
</layer>
|
| 122 |
-
<layer id="8" name="
|
| 123 |
<data replace_mode="true" />
|
| 124 |
<input>
|
| 125 |
<port id="0" precision="I32">
|
|
@@ -144,7 +144,7 @@
|
|
| 144 |
</port>
|
| 145 |
</output>
|
| 146 |
</layer>
|
| 147 |
-
<layer id="9" name="
|
| 148 |
<input>
|
| 149 |
<port id="0" precision="I32">
|
| 150 |
<dim>-1</dim>
|
|
@@ -157,12 +157,12 @@
|
|
| 157 |
</port>
|
| 158 |
</input>
|
| 159 |
<output>
|
| 160 |
-
<port id="3" precision="STRING" names="
|
| 161 |
<dim>-1</dim>
|
| 162 |
</port>
|
| 163 |
</output>
|
| 164 |
</layer>
|
| 165 |
-
<layer id="10" name="
|
| 166 |
<input>
|
| 167 |
<port id="0" precision="STRING">
|
| 168 |
<dim>-1</dim>
|
|
@@ -190,27 +190,29 @@
|
|
| 190 |
<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
|
| 191 |
</edges>
|
| 192 |
<rt_info>
|
|
|
|
| 193 |
<add_attention_mask value="True" />
|
| 194 |
<add_prefix_space />
|
| 195 |
<add_special_tokens value="True" />
|
| 196 |
<bos_token_id value="1" />
|
|
|
|
| 197 |
<clean_up_tokenization_spaces />
|
| 198 |
<detokenizer_input_type value="i64" />
|
| 199 |
<eos_token_id value="7" />
|
| 200 |
<handle_special_tokens_with_re />
|
| 201 |
<max_length />
|
| 202 |
<number_of_inputs value="1" />
|
| 203 |
-
<openvino_tokenizers_version value="2026.
|
| 204 |
-
<openvino_version value="2026.
|
| 205 |
<original_post_processor_template value="{"type": "Sequence", "processors": [{"type": "ByteLevel", "add_prefix_space": true, "trim_offsets": false, "use_regex": true}, {"type": "TemplateProcessing", "single": [{"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}], "pair": [{"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "B", "type_id": 0}}], "special_tokens": {"<|startoftext|>": {"id": "<|startoftext|>", "ids": [1], "tokens": ["<|startoftext|>"]}}}]}" />
|
| 206 |
-
<original_tokenizer_class value="<class 'transformers.
|
| 207 |
<pad_token_id value="0" />
|
| 208 |
<processed_post_processor_template value="{"single": {"ids": [1, -1], "type_ids": [0, 0]}, "pair": {"ids": [1, -1, 1, -2], "type_ids": [0, 0, 0, 0]}}" />
|
| 209 |
<skip_special_tokens value="True" />
|
| 210 |
<streaming_detokenizer value="False" />
|
| 211 |
<tokenizer_output_type value="i64" />
|
| 212 |
<tokenizers_version value="0.22.2" />
|
| 213 |
-
<transformers_version value="
|
| 214 |
<use_max_padding value="False" />
|
| 215 |
<use_sentencepiece_backend value="False" />
|
| 216 |
<utf8_replace_mode value="replace" />
|
|
|
|
| 1 |
<?xml version="1.0"?>
|
| 2 |
<net name="detokenizer" version="11">
|
| 3 |
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_95085" type="Parameter" version="opset1">
|
| 5 |
<data shape="?,?" element_type="i64" />
|
| 6 |
<output>
|
| 7 |
+
<port id="0" precision="I64" names="Parameter_95085">
|
| 8 |
<dim>-1</dim>
|
| 9 |
<dim>-1</dim>
|
| 10 |
</port>
|
| 11 |
</output>
|
| 12 |
</layer>
|
| 13 |
+
<layer id="1" name="Convert_95120" type="Convert" version="opset1">
|
| 14 |
<data destination_type="i32" />
|
| 15 |
<input>
|
| 16 |
<port id="0" precision="I64">
|
|
|
|
| 25 |
</port>
|
| 26 |
</output>
|
| 27 |
</layer>
|
| 28 |
+
<layer id="2" name="Constant_95087" type="Const" version="opset1">
|
| 29 |
<data element_type="i32" shape="64402" offset="0" size="257608" />
|
| 30 |
<output>
|
| 31 |
<port id="0" precision="I32">
|
|
|
|
| 33 |
</port>
|
| 34 |
</output>
|
| 35 |
</layer>
|
| 36 |
+
<layer id="3" name="Constant_95089" type="Const" version="opset1">
|
| 37 |
<data element_type="i32" shape="64402" offset="257608" size="257608" />
|
| 38 |
<output>
|
| 39 |
<port id="0" precision="I32">
|
|
|
|
| 41 |
</port>
|
| 42 |
</output>
|
| 43 |
</layer>
|
| 44 |
+
<layer id="4" name="Constant_95091" type="Const" version="opset1">
|
| 45 |
<data element_type="u8" shape="394175" offset="515216" size="394175" />
|
| 46 |
<output>
|
| 47 |
<port id="0" precision="U8">
|
|
|
|
| 49 |
</port>
|
| 50 |
</output>
|
| 51 |
</layer>
|
| 52 |
+
<layer id="5" name="Slice_95096" type="Const" version="opset1">
|
| 53 |
+
<data element_type="i32" shape="503" offset="909391" size="2012" />
|
| 54 |
<output>
|
| 55 |
<port id="0" precision="I32">
|
| 56 |
+
<dim>503</dim>
|
| 57 |
</port>
|
| 58 |
</output>
|
| 59 |
</layer>
|
| 60 |
+
<layer id="6" name="VocabDecoder_95098" type="VocabDecoder" version="extension">
|
| 61 |
<data skip_tokens="" />
|
| 62 |
<input>
|
| 63 |
<port id="0" precision="I32">
|
|
|
|
| 74 |
<dim>394175</dim>
|
| 75 |
</port>
|
| 76 |
<port id="4" precision="I32">
|
| 77 |
+
<dim>503</dim>
|
| 78 |
</port>
|
| 79 |
</input>
|
| 80 |
<output>
|
|
|
|
| 95 |
</port>
|
| 96 |
</output>
|
| 97 |
</layer>
|
| 98 |
+
<layer id="7" name="FuzeRagged_95099" type="FuzeRagged" version="extension">
|
| 99 |
<input>
|
| 100 |
<port id="0" precision="I32">
|
| 101 |
<dim>-1</dim>
|
|
|
|
| 119 |
</port>
|
| 120 |
</output>
|
| 121 |
</layer>
|
| 122 |
+
<layer id="8" name="UTF8Validate_95100" type="UTF8Validate" version="extension">
|
| 123 |
<data replace_mode="true" />
|
| 124 |
<input>
|
| 125 |
<port id="0" precision="I32">
|
|
|
|
| 144 |
</port>
|
| 145 |
</output>
|
| 146 |
</layer>
|
| 147 |
+
<layer id="9" name="StringTensorPack_95101" type="StringTensorPack" version="opset15">
|
| 148 |
<input>
|
| 149 |
<port id="0" precision="I32">
|
| 150 |
<dim>-1</dim>
|
|
|
|
| 157 |
</port>
|
| 158 |
</input>
|
| 159 |
<output>
|
| 160 |
+
<port id="3" precision="STRING" names="Result_95102,string_output">
|
| 161 |
<dim>-1</dim>
|
| 162 |
</port>
|
| 163 |
</output>
|
| 164 |
</layer>
|
| 165 |
+
<layer id="10" name="Result_95102" type="Result" version="opset1" output_names="Result_95102,string_output">
|
| 166 |
<input>
|
| 167 |
<port id="0" precision="STRING">
|
| 168 |
<dim>-1</dim>
|
|
|
|
| 190 |
<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
|
| 191 |
</edges>
|
| 192 |
<rt_info>
|
| 193 |
+
<info name="OpenVINO Runtime" value="2026.3.0-22451-8a17657b995-releases/2026/3" />
|
| 194 |
<add_attention_mask value="True" />
|
| 195 |
<add_prefix_space />
|
| 196 |
<add_special_tokens value="True" />
|
| 197 |
<bos_token_id value="1" />
|
| 198 |
+
<chat_template value="{{- bos_token -}} {%- set preserve_thinking = preserve_thinking | default(keep_past_thinking | default(false)) -%} {%- macro format_arg_value(arg_value) -%} {%- if arg_value is string -%} {{- "'" + (arg_value | replace("\\", "\\\\") | replace("'", "\\'") | replace("\n", "\\n") | replace("\r", "\\r")) + "'" -}} {%- elif arg_value is mapping or arg_value is iterable -%} {{- arg_value | tojson -}} {%- else -%} {{- arg_value | string -}} {%- endif -%} {%- endmacro -%} {%- macro parse_content(content) -%} {%- if content is string -%} {{- content -}} {%- elif content is mapping -%} {{- content | tojson -}} {%- elif content is iterable -%} {%- set _ns = namespace(result="") -%} {%- for item in content -%} {%- if item is string -%} {%- set _ns.result = _ns.result + item -%} {%- elif item is mapping and item.get("type") == "image" -%} {%- set _ns.result = _ns.result + "<image>" -%} {%- elif item is mapping and item.get("type") == "text" -%} {%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%} {%- else -%} {%- set _ns.result = _ns.result + (item | tojson) -%} {%- endif -%} {%- endfor -%} {{- _ns.result -}} {%- endif -%} {%- endmacro -%} {%- macro render_tool_calls(tool_calls) -%} {%- set tool_calls_ns = namespace(tool_calls=[]) -%} {%- for tool_call in tool_calls -%} {%- set func = tool_call["function"] if "function" in tool_call else tool_call -%} {%- set func_name = func["name"] -%} {%- set func_args = func.get("arguments") -%} {%- set args_ns = namespace(arg_strings=[]) -%} {%- if func_args is mapping -%} {%- for arg_name, arg_value in func_args.items() -%} {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + "=" + format_arg_value(arg_value)] -%} {%- endfor -%} {%- elif func_args is string and (func_args | trim) not in ["", "{}", "null"] -%} {{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}} {%- endif -%} {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + "(" + (args_ns.arg_strings | join(", ")) + ")"] -%} {%- endfor -%} {{- "<|tool_call_start|>[" + (tool_calls_ns.tool_calls | join(", ")) + "]<|tool_call_end|>" -}} {%- endmacro -%} {%- set ns = namespace(system_prompt="", last_assistant_index=-1) -%} {%- if messages and messages[0]["role"] == "system" -%} {%- if messages[0].get("content") -%} {%- set ns.system_prompt = parse_content(messages[0]["content"]) -%} {%- endif -%} {%- set messages = messages[1:] -%} {%- endif -%} {%- if tools -%} {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%} {%- for tool in tools -%} {%- if tool is not string -%} {%- set tool = tool | tojson -%} {%- endif -%} {%- set ns.system_prompt = ns.system_prompt + tool -%} {%- if not loop.last -%} {%- set ns.system_prompt = ns.system_prompt + ", " -%} {%- endif -%} {%- endfor -%} {%- set ns.system_prompt = ns.system_prompt + "]" -%} {%- endif -%} {%- if ns.system_prompt -%} {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}} {%- endif -%} {%- for message in messages -%} {%- if message["role"] == "assistant" -%} {%- set ns.last_assistant_index = loop.index0 -%} {%- endif -%} {%- endfor -%} {%- for message in messages -%} {{- "<|im_start|>" + message.role + "\n" -}} {%- if message.role == "assistant" -%} {%- generation -%} {%- set keep_thinking = preserve_thinking or loop.index0 == ns.last_assistant_index -%} {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%} {%- set thinking = thinking if thinking is string else "" -%} {%- if thinking and keep_thinking -%} {{- "<think>" + thinking + "</think>" -}} {%- endif -%} {%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%} {%- set _has_cfm = false -%} {%- set content = "" -%} {%- if message.get("content") -%} {%- set content = parse_content(message.content) -%} {%- endif -%} {%- if not keep_thinking and "</think>" in content -%} {%- set content = content.split("</think>")[-1] | trim -%} {%- endif -%} {%- if content.endswith(_cfm_tag) -%} {%- set _has_cfm = true -%} {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%} {%- set content = content[:_trunc_len] -%} {%- endif -%} {{- content -}} {%- if message.tool_calls -%} {{- render_tool_calls(message.tool_calls) -}} {%- endif -%} {%- if _has_cfm -%} {{- _cfm_tag -}} {%- endif -%} {{- "<|im_end|>\n" -}} {%- endgeneration -%} {%- else %} {%- if message.get("content") -%} {{- parse_content(message["content"]) -}} {%- endif -%} {{- "<|im_end|>\n" -}} {%- endif %} {%- endfor -%} {%- if add_generation_prompt -%} {{- "<|im_start|>assistant\n" -}} {%- endif -%} " />
|
| 199 |
<clean_up_tokenization_spaces />
|
| 200 |
<detokenizer_input_type value="i64" />
|
| 201 |
<eos_token_id value="7" />
|
| 202 |
<handle_special_tokens_with_re />
|
| 203 |
<max_length />
|
| 204 |
<number_of_inputs value="1" />
|
| 205 |
+
<openvino_tokenizers_version value="2026.3.0.0-703-183c6f25cda" />
|
| 206 |
+
<openvino_version value="2026.3.0-22451-8a17657b995-releases/2026/3" />
|
| 207 |
<original_post_processor_template value="{"type": "Sequence", "processors": [{"type": "ByteLevel", "add_prefix_space": true, "trim_offsets": false, "use_regex": true}, {"type": "TemplateProcessing", "single": [{"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}], "pair": [{"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "B", "type_id": 0}}], "special_tokens": {"<|startoftext|>": {"id": "<|startoftext|>", "ids": [1], "tokens": ["<|startoftext|>"]}}}]}" />
|
| 208 |
+
<original_tokenizer_class value="<class 'transformers.tokenization_utils_tokenizers.TokenizersBackend'>" />
|
| 209 |
<pad_token_id value="0" />
|
| 210 |
<processed_post_processor_template value="{"single": {"ids": [1, -1], "type_ids": [0, 0]}, "pair": {"ids": [1, -1, 1, -2], "type_ids": [0, 0, 0, 0]}}" />
|
| 211 |
<skip_special_tokens value="True" />
|
| 212 |
<streaming_detokenizer value="False" />
|
| 213 |
<tokenizer_output_type value="i64" />
|
| 214 |
<tokenizers_version value="0.22.2" />
|
| 215 |
+
<transformers_version value="5.2.0" />
|
| 216 |
<use_max_padding value="False" />
|
| 217 |
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|
| 218 |
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|
openvino_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
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|
| 1 |
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|
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openvino_model.xml
CHANGED
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The diff for this file is too large to render.
See raw diff
|
|
|
openvino_tokenizer.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
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| 2 |
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|
| 3 |
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|
openvino_tokenizer.xml
CHANGED
|
@@ -1,27 +1,27 @@
|
|
| 1 |
<?xml version="1.0"?>
|
| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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|
| 16 |
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| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
|
@@ -29,13 +29,13 @@
|
|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
|
@@ -53,7 +53,7 @@
|
|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
-
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
|
@@ -66,19 +66,19 @@
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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| 83 |
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|
| 84 |
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|
|
@@ -91,13 +91,13 @@
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
|
@@ -110,19 +110,19 @@
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
@@ -132,13 +132,13 @@
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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| 137 |
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| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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| 142 |
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|
| 143 |
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|
| 144 |
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|
|
@@ -151,7 +151,7 @@
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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| 156 |
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|
| 157 |
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|
@@ -159,7 +159,7 @@
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
|
@@ -201,7 +201,7 @@
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
@@ -209,7 +209,7 @@
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
@@ -255,7 +255,7 @@
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|
| 255 |
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|
| 256 |
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|
| 257 |
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|
| 258 |
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|
| 259 |
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| 260 |
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| 261 |
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|
@@ -263,7 +263,7 @@
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|
| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
-
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|
| 267 |
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| 268 |
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|
| 269 |
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|
|
@@ -271,7 +271,7 @@
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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| 276 |
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|
| 277 |
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|
@@ -279,7 +279,7 @@
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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| 284 |
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| 285 |
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|
@@ -287,7 +287,7 @@
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|
| 287 |
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| 288 |
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|
| 289 |
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|
| 290 |
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|
| 291 |
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| 292 |
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| 293 |
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|
@@ -295,7 +295,7 @@
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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| 300 |
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| 301 |
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|
@@ -303,7 +303,7 @@
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|
| 303 |
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| 304 |
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|
| 305 |
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|
| 306 |
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|
| 307 |
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| 308 |
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| 309 |
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|
@@ -311,7 +311,7 @@
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|
| 311 |
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|
| 312 |
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|
| 313 |
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|
| 314 |
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| 315 |
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| 316 |
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| 317 |
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|
@@ -319,7 +319,7 @@
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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| 324 |
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| 325 |
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|
@@ -327,7 +327,7 @@
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|
| 327 |
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| 328 |
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|
| 329 |
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|
| 330 |
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| 331 |
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| 332 |
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|
@@ -335,7 +335,7 @@
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|
| 335 |
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| 336 |
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|
| 337 |
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|
| 338 |
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| 339 |
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| 340 |
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| 341 |
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|
@@ -343,7 +343,7 @@
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|
| 343 |
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| 344 |
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|
| 345 |
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|
| 346 |
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| 347 |
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| 348 |
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| 349 |
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|
@@ -351,7 +351,7 @@
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|
| 351 |
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| 352 |
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| 353 |
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| 354 |
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| 355 |
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| 356 |
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| 357 |
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|
@@ -359,7 +359,7 @@
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|
| 359 |
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| 360 |
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|
| 361 |
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| 362 |
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| 363 |
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|
| 364 |
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| 365 |
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|
@@ -429,29 +429,29 @@
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|
| 429 |
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| 430 |
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| 431 |
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| 432 |
-
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| 433 |
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| 434 |
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| 435 |
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| 436 |
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| 438 |
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|
| 439 |
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|
| 440 |
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| 441 |
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| 442 |
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| 443 |
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| 444 |
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| 445 |
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| 446 |
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| 447 |
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| 448 |
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| 449 |
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| 450 |
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| 453 |
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| 454 |
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|
| 455 |
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| 456 |
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| 457 |
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|
@@ -465,7 +465,7 @@
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|
| 465 |
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| 466 |
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| 467 |
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| 468 |
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| 469 |
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| 470 |
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| 471 |
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|
@@ -483,7 +483,7 @@
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|
| 483 |
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|
| 484 |
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|
| 485 |
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|
| 486 |
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|
| 487 |
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|
| 488 |
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| 489 |
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|
@@ -491,7 +491,7 @@
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|
| 491 |
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|
| 492 |
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|
| 493 |
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|
| 494 |
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<layer id="40" name="
|
| 495 |
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|
| 496 |
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|
| 497 |
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|
|
@@ -532,7 +532,7 @@
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|
| 532 |
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|
| 533 |
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|
| 534 |
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|
| 535 |
-
<layer id="41" name="
|
| 536 |
<data auto_broadcast="numpy" />
|
| 537 |
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|
| 538 |
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|
|
@@ -548,13 +548,13 @@
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|
| 548 |
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|
| 549 |
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|
| 550 |
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|
| 551 |
-
<layer id="42" name="
|
| 552 |
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|
| 553 |
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|
| 554 |
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|
| 555 |
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|
| 556 |
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|
| 557 |
-
<layer id="43" name="
|
| 558 |
<data keep_dims="false" />
|
| 559 |
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|
| 560 |
<port id="0" precision="I32">
|
|
@@ -566,14 +566,14 @@
|
|
| 566 |
<port id="2" precision="I32" />
|
| 567 |
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|
| 568 |
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|
| 569 |
-
<layer id="44" name="
|
| 570 |
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|
| 571 |
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|
| 572 |
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|
| 573 |
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|
| 574 |
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|
| 575 |
-
<layer id="45" name="
|
| 576 |
-
<data pad_right="
|
| 577 |
<input>
|
| 578 |
<port id="0" precision="I32">
|
| 579 |
<dim>-1</dim>
|
|
@@ -598,7 +598,7 @@
|
|
| 598 |
</port>
|
| 599 |
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|
| 600 |
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|
| 601 |
-
<layer id="46" name="
|
| 602 |
<data destination_type="i32" />
|
| 603 |
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|
| 604 |
<port id="0" precision="BOOL">
|
|
@@ -613,7 +613,7 @@
|
|
| 613 |
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|
| 614 |
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|
| 615 |
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|
| 616 |
-
<layer id="47" name="
|
| 617 |
<data destination_type="i64" />
|
| 618 |
<input>
|
| 619 |
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|
|
@@ -628,7 +628,7 @@
|
|
| 628 |
</port>
|
| 629 |
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|
| 630 |
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|
| 631 |
-
<layer id="48" name="
|
| 632 |
<data destination_type="i64" />
|
| 633 |
<input>
|
| 634 |
<port id="0" precision="I32">
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|
@@ -643,7 +643,7 @@
|
|
| 643 |
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|
| 644 |
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|
| 645 |
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|
| 646 |
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<layer id="49" name="
|
| 647 |
<input>
|
| 648 |
<port id="0" precision="I64">
|
| 649 |
<dim>-1</dim>
|
|
@@ -651,7 +651,7 @@
|
|
| 651 |
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|
| 652 |
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|
| 653 |
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|
| 654 |
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<layer id="50" name="
|
| 655 |
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|
| 656 |
<port id="0" precision="I64">
|
| 657 |
<dim>-1</dim>
|
|
@@ -734,27 +734,29 @@
|
|
| 734 |
<edge from-layer="48" from-port="1" to-layer="49" to-port="0" />
|
| 735 |
</edges>
|
| 736 |
<rt_info>
|
|
|
|
| 737 |
<add_attention_mask value="True" />
|
| 738 |
<add_prefix_space />
|
| 739 |
<add_special_tokens value="True" />
|
| 740 |
<bos_token_id value="1" />
|
|
|
|
| 741 |
<clean_up_tokenization_spaces />
|
| 742 |
<detokenizer_input_type value="i64" />
|
| 743 |
<eos_token_id value="7" />
|
| 744 |
<handle_special_tokens_with_re />
|
| 745 |
<max_length />
|
| 746 |
<number_of_inputs value="1" />
|
| 747 |
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<openvino_tokenizers_version value="2026.
|
| 748 |
-
<openvino_version value="2026.
|
| 749 |
<original_post_processor_template value="{"type": "Sequence", "processors": [{"type": "ByteLevel", "add_prefix_space": true, "trim_offsets": false, "use_regex": true}, {"type": "TemplateProcessing", "single": [{"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}], "pair": [{"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "B", "type_id": 0}}], "special_tokens": {"<|startoftext|>": {"id": "<|startoftext|>", "ids": [1], "tokens": ["<|startoftext|>"]}}}]}" />
|
| 750 |
-
<original_tokenizer_class value="<class 'transformers.
|
| 751 |
<pad_token_id value="0" />
|
| 752 |
<processed_post_processor_template value="{"single": {"ids": [1, -1], "type_ids": [0, 0]}, "pair": {"ids": [1, -1, 1, -2], "type_ids": [0, 0, 0, 0]}}" />
|
| 753 |
<skip_special_tokens value="True" />
|
| 754 |
<streaming_detokenizer value="False" />
|
| 755 |
<tokenizer_output_type value="i64" />
|
| 756 |
<tokenizers_version value="0.22.2" />
|
| 757 |
-
<transformers_version value="
|
| 758 |
<use_max_padding value="False" />
|
| 759 |
<use_sentencepiece_backend value="False" />
|
| 760 |
<utf8_replace_mode value="replace" />
|
|
|
|
| 1 |
<?xml version="1.0"?>
|
| 2 |
<net name="tokenizer" version="11">
|
| 3 |
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_94955" type="Parameter" version="opset1">
|
| 5 |
<data shape="?" element_type="string" />
|
| 6 |
<output>
|
| 7 |
+
<port id="0" precision="STRING" names="Parameter_94955">
|
| 8 |
<dim>-1</dim>
|
| 9 |
</port>
|
| 10 |
</output>
|
| 11 |
</layer>
|
| 12 |
+
<layer id="1" name="Constant_95069" type="Const" version="opset1">
|
| 13 |
<data element_type="i32" shape="" offset="0" size="4" />
|
| 14 |
<output>
|
| 15 |
<port id="0" precision="I32" />
|
| 16 |
</output>
|
| 17 |
</layer>
|
| 18 |
+
<layer id="2" name="Constant_95070" type="Const" version="opset1">
|
| 19 |
<data element_type="i32" shape="" offset="4" size="4" />
|
| 20 |
<output>
|
| 21 |
<port id="0" precision="I32" />
|
| 22 |
</output>
|
| 23 |
</layer>
|
| 24 |
+
<layer id="3" name="Constant_95071" type="Const" version="opset1">
|
| 25 |
<data element_type="i32" shape="1" offset="4" size="4" />
|
| 26 |
<output>
|
| 27 |
<port id="0" precision="I32">
|
|
|
|
| 29 |
</port>
|
| 30 |
</output>
|
| 31 |
</layer>
|
| 32 |
+
<layer id="4" name="Constant_94961" type="Const" version="opset1">
|
| 33 |
<data element_type="i64" shape="" offset="8" size="8" />
|
| 34 |
<output>
|
| 35 |
<port id="0" precision="I64" />
|
| 36 |
</output>
|
| 37 |
</layer>
|
| 38 |
+
<layer id="5" name="StringTensorUnpack_94956" type="StringTensorUnpack" version="opset15">
|
| 39 |
<input>
|
| 40 |
<port id="0" precision="STRING">
|
| 41 |
<dim>-1</dim>
|
|
|
|
| 53 |
</port>
|
| 54 |
</output>
|
| 55 |
</layer>
|
| 56 |
+
<layer id="6" name="ShapeOf_94957" type="ShapeOf" version="opset3">
|
| 57 |
<data output_type="i64" />
|
| 58 |
<input>
|
| 59 |
<port id="0" precision="I32">
|
|
|
|
| 66 |
</port>
|
| 67 |
</output>
|
| 68 |
</layer>
|
| 69 |
+
<layer id="7" name="Constant_94958" type="Const" version="opset1">
|
| 70 |
<data element_type="i64" shape="" offset="8" size="8" />
|
| 71 |
<output>
|
| 72 |
<port id="0" precision="I64" />
|
| 73 |
</output>
|
| 74 |
</layer>
|
| 75 |
+
<layer id="8" name="Constant_94959" type="Const" version="opset1">
|
| 76 |
<data element_type="i64" shape="" offset="8" size="8" />
|
| 77 |
<output>
|
| 78 |
<port id="0" precision="I64" />
|
| 79 |
</output>
|
| 80 |
</layer>
|
| 81 |
+
<layer id="9" name="Gather_94960" type="Gather" version="opset8">
|
| 82 |
<data batch_dims="0" />
|
| 83 |
<input>
|
| 84 |
<port id="0" precision="I64">
|
|
|
|
| 91 |
<port id="3" precision="I64" />
|
| 92 |
</output>
|
| 93 |
</layer>
|
| 94 |
+
<layer id="10" name="Constant_94962" type="Const" version="opset1">
|
| 95 |
<data element_type="i64" shape="" offset="16" size="8" />
|
| 96 |
<output>
|
| 97 |
<port id="0" precision="I64" />
|
| 98 |
</output>
|
| 99 |
</layer>
|
| 100 |
+
<layer id="11" name="Range_94963" type="Range" version="opset4">
|
| 101 |
<data output_type="i32" />
|
| 102 |
<input>
|
| 103 |
<port id="0" precision="I64" />
|
|
|
|
| 110 |
</port>
|
| 111 |
</output>
|
| 112 |
</layer>
|
| 113 |
+
<layer id="12" name="Constant_94964" type="Const" version="opset1">
|
| 114 |
<data element_type="i64" shape="" offset="16" size="8" />
|
| 115 |
<output>
|
| 116 |
<port id="0" precision="I64" />
|
| 117 |
</output>
|
| 118 |
</layer>
|
| 119 |
+
<layer id="13" name="Constant_94965" type="Const" version="opset1">
|
| 120 |
<data element_type="i64" shape="" offset="16" size="8" />
|
| 121 |
<output>
|
| 122 |
<port id="0" precision="I64" />
|
| 123 |
</output>
|
| 124 |
</layer>
|
| 125 |
+
<layer id="14" name="Add_94966" type="Add" version="opset1">
|
| 126 |
<data auto_broadcast="numpy" />
|
| 127 |
<input>
|
| 128 |
<port id="0" precision="I64" />
|
|
|
|
| 132 |
<port id="2" precision="I64" />
|
| 133 |
</output>
|
| 134 |
</layer>
|
| 135 |
+
<layer id="15" name="Constant_94967" type="Const" version="opset1">
|
| 136 |
<data element_type="i64" shape="" offset="16" size="8" />
|
| 137 |
<output>
|
| 138 |
<port id="0" precision="I64" />
|
| 139 |
</output>
|
| 140 |
</layer>
|
| 141 |
+
<layer id="16" name="Range_94968" type="Range" version="opset4">
|
| 142 |
<data output_type="i32" />
|
| 143 |
<input>
|
| 144 |
<port id="0" precision="I64" />
|
|
|
|
| 151 |
</port>
|
| 152 |
</output>
|
| 153 |
</layer>
|
| 154 |
+
<layer id="17" name="Constant_95032" type="Const" version="opset1">
|
| 155 |
<data element_type="u8" shape="10805" offset="24" size="10805" />
|
| 156 |
<output>
|
| 157 |
<port id="0" precision="U8">
|
|
|
|
| 159 |
</port>
|
| 160 |
</output>
|
| 161 |
</layer>
|
| 162 |
+
<layer id="18" name="SpecialTokensSplit_95033" type="SpecialTokensSplit" version="extension">
|
| 163 |
<input>
|
| 164 |
<port id="0" precision="I32">
|
| 165 |
<dim>-1</dim>
|
|
|
|
| 201 |
</port>
|
| 202 |
</output>
|
| 203 |
</layer>
|
| 204 |
+
<layer id="19" name="Constant_95035" type="Const" version="opset1">
|
| 205 |
<data element_type="u8" shape="115" offset="10829" size="115" />
|
| 206 |
<output>
|
| 207 |
<port id="0" precision="U8">
|
|
|
|
| 209 |
</port>
|
| 210 |
</output>
|
| 211 |
</layer>
|
| 212 |
+
<layer id="20" name="RegexSplit_95036" type="RegexSplit" version="extension">
|
| 213 |
<data behaviour="isolate" invert="false" max_splits="-1" />
|
| 214 |
<input>
|
| 215 |
<port id="0" precision="I32">
|
|
|
|
| 255 |
</port>
|
| 256 |
</output>
|
| 257 |
</layer>
|
| 258 |
+
<layer id="21" name="Constant_95038" type="Const" version="opset1">
|
| 259 |
<data element_type="i32" shape="64402" offset="10944" size="257608" />
|
| 260 |
<output>
|
| 261 |
<port id="0" precision="I32">
|
|
|
|
| 263 |
</port>
|
| 264 |
</output>
|
| 265 |
</layer>
|
| 266 |
+
<layer id="22" name="Constant_95040" type="Const" version="opset1">
|
| 267 |
<data element_type="i32" shape="64402" offset="268552" size="257608" />
|
| 268 |
<output>
|
| 269 |
<port id="0" precision="I32">
|
|
|
|
| 271 |
</port>
|
| 272 |
</output>
|
| 273 |
</layer>
|
| 274 |
+
<layer id="23" name="Constant_95042" type="Const" version="opset1">
|
| 275 |
<data element_type="u8" shape="394175" offset="526160" size="394175" />
|
| 276 |
<output>
|
| 277 |
<port id="0" precision="U8">
|
|
|
|
| 279 |
</port>
|
| 280 |
</output>
|
| 281 |
</layer>
|
| 282 |
+
<layer id="24" name="Constant_95050" type="Const" version="opset1">
|
| 283 |
<data element_type="i32" shape="63683" offset="920335" size="254732" />
|
| 284 |
<output>
|
| 285 |
<port id="0" precision="I32">
|
|
|
|
| 287 |
</port>
|
| 288 |
</output>
|
| 289 |
</layer>
|
| 290 |
+
<layer id="25" name="Constant_95052" type="Const" version="opset1">
|
| 291 |
<data element_type="i32" shape="63683" offset="1175067" size="254732" />
|
| 292 |
<output>
|
| 293 |
<port id="0" precision="I32">
|
|
|
|
| 295 |
</port>
|
| 296 |
</output>
|
| 297 |
</layer>
|
| 298 |
+
<layer id="26" name="Constant_95054" type="Const" version="opset1">
|
| 299 |
<data element_type="u8" shape="201784" offset="1429799" size="201784" />
|
| 300 |
<output>
|
| 301 |
<port id="0" precision="U8">
|
|
|
|
| 303 |
</port>
|
| 304 |
</output>
|
| 305 |
</layer>
|
| 306 |
+
<layer id="27" name="Constant_95056" type="Const" version="opset1">
|
| 307 |
<data element_type="i32" shape="63683" offset="1631583" size="254732" />
|
| 308 |
<output>
|
| 309 |
<port id="0" precision="I32">
|
|
|
|
| 311 |
</port>
|
| 312 |
</output>
|
| 313 |
</layer>
|
| 314 |
+
<layer id="28" name="Constant_95058" type="Const" version="opset1">
|
| 315 |
<data element_type="i32" shape="63683" offset="1886315" size="254732" />
|
| 316 |
<output>
|
| 317 |
<port id="0" precision="I32">
|
|
|
|
| 319 |
</port>
|
| 320 |
</output>
|
| 321 |
</layer>
|
| 322 |
+
<layer id="29" name="Constant_95060" type="Const" version="opset1">
|
| 323 |
<data element_type="u8" shape="184190" offset="2141047" size="184190" />
|
| 324 |
<output>
|
| 325 |
<port id="0" precision="U8">
|
|
|
|
| 327 |
</port>
|
| 328 |
</output>
|
| 329 |
</layer>
|
| 330 |
+
<layer id="30" name="Constant_95044" type="Const" version="opset1">
|
| 331 |
<data element_type="i32" shape="508" offset="2325237" size="2032" />
|
| 332 |
<output>
|
| 333 |
<port id="0" precision="I32">
|
|
|
|
| 335 |
</port>
|
| 336 |
</output>
|
| 337 |
</layer>
|
| 338 |
+
<layer id="31" name="Constant_95046" type="Const" version="opset1">
|
| 339 |
<data element_type="i32" shape="508" offset="2327269" size="2032" />
|
| 340 |
<output>
|
| 341 |
<port id="0" precision="I32">
|
|
|
|
| 343 |
</port>
|
| 344 |
</output>
|
| 345 |
</layer>
|
| 346 |
+
<layer id="32" name="Constant_95048" type="Const" version="opset1">
|
| 347 |
<data element_type="u8" shape="8265" offset="2329301" size="8265" />
|
| 348 |
<output>
|
| 349 |
<port id="0" precision="U8">
|
|
|
|
| 351 |
</port>
|
| 352 |
</output>
|
| 353 |
</layer>
|
| 354 |
+
<layer id="33" name="Constant_95061" type="Const" version="opset1">
|
| 355 |
<data element_type="i32" shape="508" offset="2337566" size="2032" />
|
| 356 |
<output>
|
| 357 |
<port id="0" precision="I32">
|
|
|
|
| 359 |
</port>
|
| 360 |
</output>
|
| 361 |
</layer>
|
| 362 |
+
<layer id="34" name="BPETokenizer_95062" type="BPETokenizer" version="extension">
|
| 363 |
<data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" cache_capacity="20000" />
|
| 364 |
<input>
|
| 365 |
<port id="0" precision="I32">
|
|
|
|
| 429 |
</port>
|
| 430 |
</output>
|
| 431 |
</layer>
|
| 432 |
+
<layer id="35" name="Constant_95063" type="Const" version="opset1">
|
| 433 |
<data element_type="i32" shape="" offset="2339598" size="4" />
|
| 434 |
<output>
|
| 435 |
<port id="0" precision="I32" />
|
| 436 |
</output>
|
| 437 |
</layer>
|
| 438 |
+
<layer id="36" name="Constant_95065" type="Const" version="opset1">
|
| 439 |
+
<data element_type="u8" shape="4" offset="2339602" size="4" />
|
| 440 |
<output>
|
| 441 |
<port id="0" precision="U8">
|
| 442 |
+
<dim>4</dim>
|
| 443 |
</port>
|
| 444 |
</output>
|
| 445 |
</layer>
|
| 446 |
+
<layer id="37" name="Constant_95067" type="Const" version="opset1">
|
| 447 |
+
<data element_type="u8" shape="13" offset="2339606" size="13" />
|
| 448 |
<output>
|
| 449 |
<port id="0" precision="U8">
|
| 450 |
<dim>13</dim>
|
| 451 |
</port>
|
| 452 |
</output>
|
| 453 |
</layer>
|
| 454 |
+
<layer id="38" name="Truncate_95068" type="Truncate" version="extension">
|
| 455 |
<data m_num_inputs="1" />
|
| 456 |
<input>
|
| 457 |
<port id="0" precision="I32">
|
|
|
|
| 465 |
</port>
|
| 466 |
<port id="3" precision="I32" />
|
| 467 |
<port id="4" precision="U8">
|
| 468 |
+
<dim>4</dim>
|
| 469 |
</port>
|
| 470 |
<port id="5" precision="U8">
|
| 471 |
<dim>13</dim>
|
|
|
|
| 483 |
</port>
|
| 484 |
</output>
|
| 485 |
</layer>
|
| 486 |
+
<layer id="39" name="Constant_95072" type="Const" version="opset1">
|
| 487 |
<data element_type="i32" shape="2" offset="8" size="8" />
|
| 488 |
<output>
|
| 489 |
<port id="0" precision="I32">
|
|
|
|
| 491 |
</port>
|
| 492 |
</output>
|
| 493 |
</layer>
|
| 494 |
+
<layer id="40" name="CombineSegments_95073" type="CombineSegments" version="extension">
|
| 495 |
<input>
|
| 496 |
<port id="0" precision="I32" />
|
| 497 |
<port id="1" precision="I32" />
|
|
|
|
| 532 |
</port>
|
| 533 |
</output>
|
| 534 |
</layer>
|
| 535 |
+
<layer id="41" name="Subtract_95074" type="Subtract" version="opset1">
|
| 536 |
<data auto_broadcast="numpy" />
|
| 537 |
<input>
|
| 538 |
<port id="0" precision="I32">
|
|
|
|
| 548 |
</port>
|
| 549 |
</output>
|
| 550 |
</layer>
|
| 551 |
+
<layer id="42" name="Constant_95075" type="Const" version="opset1">
|
| 552 |
<data element_type="i32" shape="" offset="0" size="4" />
|
| 553 |
<output>
|
| 554 |
<port id="0" precision="I32" />
|
| 555 |
</output>
|
| 556 |
</layer>
|
| 557 |
+
<layer id="43" name="ReduceMax_95076" type="ReduceMax" version="opset1">
|
| 558 |
<data keep_dims="false" />
|
| 559 |
<input>
|
| 560 |
<port id="0" precision="I32">
|
|
|
|
| 566 |
<port id="2" precision="I32" />
|
| 567 |
</output>
|
| 568 |
</layer>
|
| 569 |
+
<layer id="44" name="Constant_95077" type="Const" version="opset1">
|
| 570 |
<data element_type="i32" shape="" offset="0" size="4" />
|
| 571 |
<output>
|
| 572 |
<port id="0" precision="I32" />
|
| 573 |
</output>
|
| 574 |
</layer>
|
| 575 |
+
<layer id="45" name="RaggedToDense_95078" type="RaggedToDense" version="extension">
|
| 576 |
+
<data pad_right="false" m_pad_max_length="false" />
|
| 577 |
<input>
|
| 578 |
<port id="0" precision="I32">
|
| 579 |
<dim>-1</dim>
|
|
|
|
| 598 |
</port>
|
| 599 |
</output>
|
| 600 |
</layer>
|
| 601 |
+
<layer id="46" name="Convert_95079" type="Convert" version="opset1">
|
| 602 |
<data destination_type="i32" />
|
| 603 |
<input>
|
| 604 |
<port id="0" precision="BOOL">
|
|
|
|
| 613 |
</port>
|
| 614 |
</output>
|
| 615 |
</layer>
|
| 616 |
+
<layer id="47" name="Convert_95079.0" type="Convert" version="opset1">
|
| 617 |
<data destination_type="i64" />
|
| 618 |
<input>
|
| 619 |
<port id="0" precision="I32">
|
|
|
|
| 628 |
</port>
|
| 629 |
</output>
|
| 630 |
</layer>
|
| 631 |
+
<layer id="48" name="RaggedToDense_95078.0" type="Convert" version="opset1">
|
| 632 |
<data destination_type="i64" />
|
| 633 |
<input>
|
| 634 |
<port id="0" precision="I32">
|
|
|
|
| 643 |
</port>
|
| 644 |
</output>
|
| 645 |
</layer>
|
| 646 |
+
<layer id="49" name="Result_95082" type="Result" version="opset1" output_names="input_ids">
|
| 647 |
<input>
|
| 648 |
<port id="0" precision="I64">
|
| 649 |
<dim>-1</dim>
|
|
|
|
| 651 |
</port>
|
| 652 |
</input>
|
| 653 |
</layer>
|
| 654 |
+
<layer id="50" name="Result_95084" type="Result" version="opset1" output_names="attention_mask">
|
| 655 |
<input>
|
| 656 |
<port id="0" precision="I64">
|
| 657 |
<dim>-1</dim>
|
|
|
|
| 734 |
<edge from-layer="48" from-port="1" to-layer="49" to-port="0" />
|
| 735 |
</edges>
|
| 736 |
<rt_info>
|
| 737 |
+
<info name="OpenVINO Runtime" value="2026.3.0-22451-8a17657b995-releases/2026/3" />
|
| 738 |
<add_attention_mask value="True" />
|
| 739 |
<add_prefix_space />
|
| 740 |
<add_special_tokens value="True" />
|
| 741 |
<bos_token_id value="1" />
|
| 742 |
+
<chat_template value="{{- bos_token -}} {%- set preserve_thinking = preserve_thinking | default(keep_past_thinking | default(false)) -%} {%- macro format_arg_value(arg_value) -%} {%- if arg_value is string -%} {{- "'" + (arg_value | replace("\\", "\\\\") | replace("'", "\\'") | replace("\n", "\\n") | replace("\r", "\\r")) + "'" -}} {%- elif arg_value is mapping or arg_value is iterable -%} {{- arg_value | tojson -}} {%- else -%} {{- arg_value | string -}} {%- endif -%} {%- endmacro -%} {%- macro parse_content(content) -%} {%- if content is string -%} {{- content -}} {%- elif content is mapping -%} {{- content | tojson -}} {%- elif content is iterable -%} {%- set _ns = namespace(result="") -%} {%- for item in content -%} {%- if item is string -%} {%- set _ns.result = _ns.result + item -%} {%- elif item is mapping and item.get("type") == "image" -%} {%- set _ns.result = _ns.result + "<image>" -%} {%- elif item is mapping and item.get("type") == "text" -%} {%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%} {%- else -%} {%- set _ns.result = _ns.result + (item | tojson) -%} {%- endif -%} {%- endfor -%} {{- _ns.result -}} {%- endif -%} {%- endmacro -%} {%- macro render_tool_calls(tool_calls) -%} {%- set tool_calls_ns = namespace(tool_calls=[]) -%} {%- for tool_call in tool_calls -%} {%- set func = tool_call["function"] if "function" in tool_call else tool_call -%} {%- set func_name = func["name"] -%} {%- set func_args = func.get("arguments") -%} {%- set args_ns = namespace(arg_strings=[]) -%} {%- if func_args is mapping -%} {%- for arg_name, arg_value in func_args.items() -%} {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + "=" + format_arg_value(arg_value)] -%} {%- endfor -%} {%- elif func_args is string and (func_args | trim) not in ["", "{}", "null"] -%} {{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}} {%- endif -%} {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + "(" + (args_ns.arg_strings | join(", ")) + ")"] -%} {%- endfor -%} {{- "<|tool_call_start|>[" + (tool_calls_ns.tool_calls | join(", ")) + "]<|tool_call_end|>" -}} {%- endmacro -%} {%- set ns = namespace(system_prompt="", last_assistant_index=-1) -%} {%- if messages and messages[0]["role"] == "system" -%} {%- if messages[0].get("content") -%} {%- set ns.system_prompt = parse_content(messages[0]["content"]) -%} {%- endif -%} {%- set messages = messages[1:] -%} {%- endif -%} {%- if tools -%} {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%} {%- for tool in tools -%} {%- if tool is not string -%} {%- set tool = tool | tojson -%} {%- endif -%} {%- set ns.system_prompt = ns.system_prompt + tool -%} {%- if not loop.last -%} {%- set ns.system_prompt = ns.system_prompt + ", " -%} {%- endif -%} {%- endfor -%} {%- set ns.system_prompt = ns.system_prompt + "]" -%} {%- endif -%} {%- if ns.system_prompt -%} {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}} {%- endif -%} {%- for message in messages -%} {%- if message["role"] == "assistant" -%} {%- set ns.last_assistant_index = loop.index0 -%} {%- endif -%} {%- endfor -%} {%- for message in messages -%} {{- "<|im_start|>" + message.role + "\n" -}} {%- if message.role == "assistant" -%} {%- generation -%} {%- set keep_thinking = preserve_thinking or loop.index0 == ns.last_assistant_index -%} {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%} {%- set thinking = thinking if thinking is string else "" -%} {%- if thinking and keep_thinking -%} {{- "<think>" + thinking + "</think>" -}} {%- endif -%} {%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%} {%- set _has_cfm = false -%} {%- set content = "" -%} {%- if message.get("content") -%} {%- set content = parse_content(message.content) -%} {%- endif -%} {%- if not keep_thinking and "</think>" in content -%} {%- set content = content.split("</think>")[-1] | trim -%} {%- endif -%} {%- if content.endswith(_cfm_tag) -%} {%- set _has_cfm = true -%} {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%} {%- set content = content[:_trunc_len] -%} {%- endif -%} {{- content -}} {%- if message.tool_calls -%} {{- render_tool_calls(message.tool_calls) -}} {%- endif -%} {%- if _has_cfm -%} {{- _cfm_tag -}} {%- endif -%} {{- "<|im_end|>\n" -}} {%- endgeneration -%} {%- else %} {%- if message.get("content") -%} {{- parse_content(message["content"]) -}} {%- endif -%} {{- "<|im_end|>\n" -}} {%- endif %} {%- endfor -%} {%- if add_generation_prompt -%} {{- "<|im_start|>assistant\n" -}} {%- endif -%} " />
|
| 743 |
<clean_up_tokenization_spaces />
|
| 744 |
<detokenizer_input_type value="i64" />
|
| 745 |
<eos_token_id value="7" />
|
| 746 |
<handle_special_tokens_with_re />
|
| 747 |
<max_length />
|
| 748 |
<number_of_inputs value="1" />
|
| 749 |
+
<openvino_tokenizers_version value="2026.3.0.0-703-183c6f25cda" />
|
| 750 |
+
<openvino_version value="2026.3.0-22451-8a17657b995-releases/2026/3" />
|
| 751 |
<original_post_processor_template value="{"type": "Sequence", "processors": [{"type": "ByteLevel", "add_prefix_space": true, "trim_offsets": false, "use_regex": true}, {"type": "TemplateProcessing", "single": [{"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}], "pair": [{"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "<|startoftext|>", "type_id": 0}}, {"Sequence": {"id": "B", "type_id": 0}}], "special_tokens": {"<|startoftext|>": {"id": "<|startoftext|>", "ids": [1], "tokens": ["<|startoftext|>"]}}}]}" />
|
| 752 |
+
<original_tokenizer_class value="<class 'transformers.tokenization_utils_tokenizers.TokenizersBackend'>" />
|
| 753 |
<pad_token_id value="0" />
|
| 754 |
<processed_post_processor_template value="{"single": {"ids": [1, -1], "type_ids": [0, 0]}, "pair": {"ids": [1, -1, 1, -2], "type_ids": [0, 0, 0, 0]}}" />
|
| 755 |
<skip_special_tokens value="True" />
|
| 756 |
<streaming_detokenizer value="False" />
|
| 757 |
<tokenizer_output_type value="i64" />
|
| 758 |
<tokenizers_version value="0.22.2" />
|
| 759 |
+
<transformers_version value="5.2.0" />
|
| 760 |
<use_max_padding value="False" />
|
| 761 |
<use_sentencepiece_backend value="False" />
|
| 762 |
<utf8_replace_mode value="replace" />
|
tokenizer.json
CHANGED
|
@@ -100,7 +100,7 @@
|
|
| 100 |
"lstrip": false,
|
| 101 |
"rstrip": false,
|
| 102 |
"normalized": false,
|
| 103 |
-
"special":
|
| 104 |
},
|
| 105 |
{
|
| 106 |
"id": 11,
|
|
@@ -109,7 +109,7 @@
|
|
| 109 |
"lstrip": false,
|
| 110 |
"rstrip": false,
|
| 111 |
"normalized": false,
|
| 112 |
-
"special":
|
| 113 |
},
|
| 114 |
{
|
| 115 |
"id": 12,
|
|
@@ -4501,7 +4501,7 @@
|
|
| 4501 |
"lstrip": false,
|
| 4502 |
"rstrip": false,
|
| 4503 |
"normalized": true,
|
| 4504 |
-
"special":
|
| 4505 |
},
|
| 4506 |
{
|
| 4507 |
"id": 64014,
|
|
@@ -4510,7 +4510,7 @@
|
|
| 4510 |
"lstrip": false,
|
| 4511 |
"rstrip": false,
|
| 4512 |
"normalized": true,
|
| 4513 |
-
"special":
|
| 4514 |
},
|
| 4515 |
{
|
| 4516 |
"id": 64394,
|
|
@@ -4573,7 +4573,7 @@
|
|
| 4573 |
"lstrip": false,
|
| 4574 |
"rstrip": false,
|
| 4575 |
"normalized": false,
|
| 4576 |
-
"special":
|
| 4577 |
},
|
| 4578 |
{
|
| 4579 |
"id": 64401,
|
|
@@ -4582,7 +4582,7 @@
|
|
| 4582 |
"lstrip": false,
|
| 4583 |
"rstrip": false,
|
| 4584 |
"normalized": false,
|
| 4585 |
-
"special":
|
| 4586 |
}
|
| 4587 |
],
|
| 4588 |
"normalizer": null,
|
|
|
|
| 100 |
"lstrip": false,
|
| 101 |
"rstrip": false,
|
| 102 |
"normalized": false,
|
| 103 |
+
"special": false
|
| 104 |
},
|
| 105 |
{
|
| 106 |
"id": 11,
|
|
|
|
| 109 |
"lstrip": false,
|
| 110 |
"rstrip": false,
|
| 111 |
"normalized": false,
|
| 112 |
+
"special": false
|
| 113 |
},
|
| 114 |
{
|
| 115 |
"id": 12,
|
|
|
|
| 4501 |
"lstrip": false,
|
| 4502 |
"rstrip": false,
|
| 4503 |
"normalized": true,
|
| 4504 |
+
"special": false
|
| 4505 |
},
|
| 4506 |
{
|
| 4507 |
"id": 64014,
|
|
|
|
| 4510 |
"lstrip": false,
|
| 4511 |
"rstrip": false,
|
| 4512 |
"normalized": true,
|
| 4513 |
+
"special": false
|
| 4514 |
},
|
| 4515 |
{
|
| 4516 |
"id": 64394,
|
|
|
|
| 4573 |
"lstrip": false,
|
| 4574 |
"rstrip": false,
|
| 4575 |
"normalized": false,
|
| 4576 |
+
"special": false
|
| 4577 |
},
|
| 4578 |
{
|
| 4579 |
"id": 64401,
|
|
|
|
| 4582 |
"lstrip": false,
|
| 4583 |
"rstrip": false,
|
| 4584 |
"normalized": false,
|
| 4585 |
+
"special": false
|
| 4586 |
}
|
| 4587 |
],
|
| 4588 |
"normalizer": null,
|
tokenizer_config.json
CHANGED
|
@@ -1,4083 +1,21 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
"0": {
|
| 4 |
-
"content": "<|pad|>",
|
| 5 |
-
"lstrip": false,
|
| 6 |
-
"normalized": false,
|
| 7 |
-
"rstrip": false,
|
| 8 |
-
"single_word": false,
|
| 9 |
-
"special": true
|
| 10 |
-
},
|
| 11 |
-
"1": {
|
| 12 |
-
"content": "<|startoftext|>",
|
| 13 |
-
"lstrip": false,
|
| 14 |
-
"normalized": false,
|
| 15 |
-
"rstrip": false,
|
| 16 |
-
"single_word": false,
|
| 17 |
-
"special": true
|
| 18 |
-
},
|
| 19 |
-
"2": {
|
| 20 |
-
"content": "<|endoftext|>",
|
| 21 |
-
"lstrip": false,
|
| 22 |
-
"normalized": false,
|
| 23 |
-
"rstrip": false,
|
| 24 |
-
"single_word": false,
|
| 25 |
-
"special": true
|
| 26 |
-
},
|
| 27 |
-
"3": {
|
| 28 |
-
"content": "<|fim_pre|>",
|
| 29 |
-
"lstrip": false,
|
| 30 |
-
"normalized": false,
|
| 31 |
-
"rstrip": false,
|
| 32 |
-
"single_word": false,
|
| 33 |
-
"special": true
|
| 34 |
-
},
|
| 35 |
-
"4": {
|
| 36 |
-
"content": "<|fim_mid|>",
|
| 37 |
-
"lstrip": false,
|
| 38 |
-
"normalized": false,
|
| 39 |
-
"rstrip": false,
|
| 40 |
-
"single_word": false,
|
| 41 |
-
"special": true
|
| 42 |
-
},
|
| 43 |
-
"5": {
|
| 44 |
-
"content": "<|fim_suf|>",
|
| 45 |
-
"lstrip": false,
|
| 46 |
-
"normalized": false,
|
| 47 |
-
"rstrip": false,
|
| 48 |
-
"single_word": false,
|
| 49 |
-
"special": true
|
| 50 |
-
},
|
| 51 |
-
"6": {
|
| 52 |
-
"content": "<|im_start|>",
|
| 53 |
-
"lstrip": false,
|
| 54 |
-
"normalized": false,
|
| 55 |
-
"rstrip": false,
|
| 56 |
-
"single_word": false,
|
| 57 |
-
"special": true
|
| 58 |
-
},
|
| 59 |
-
"7": {
|
| 60 |
-
"content": "<|im_end|>",
|
| 61 |
-
"lstrip": false,
|
| 62 |
-
"normalized": false,
|
| 63 |
-
"rstrip": false,
|
| 64 |
-
"single_word": false,
|
| 65 |
-
"special": true
|
| 66 |
-
},
|
| 67 |
-
"8": {
|
| 68 |
-
"content": "<|tool_list_start|>",
|
| 69 |
-
"lstrip": false,
|
| 70 |
-
"normalized": false,
|
| 71 |
-
"rstrip": false,
|
| 72 |
-
"single_word": false,
|
| 73 |
-
"special": true
|
| 74 |
-
},
|
| 75 |
-
"9": {
|
| 76 |
-
"content": "<|tool_list_end|>",
|
| 77 |
-
"lstrip": false,
|
| 78 |
-
"normalized": false,
|
| 79 |
-
"rstrip": false,
|
| 80 |
-
"single_word": false,
|
| 81 |
-
"special": true
|
| 82 |
-
},
|
| 83 |
-
"10": {
|
| 84 |
-
"content": "<|tool_call_start|>",
|
| 85 |
-
"lstrip": false,
|
| 86 |
-
"normalized": false,
|
| 87 |
-
"rstrip": false,
|
| 88 |
-
"single_word": false,
|
| 89 |
-
"special": true
|
| 90 |
-
},
|
| 91 |
-
"11": {
|
| 92 |
-
"content": "<|tool_call_end|>",
|
| 93 |
-
"lstrip": false,
|
| 94 |
-
"normalized": false,
|
| 95 |
-
"rstrip": false,
|
| 96 |
-
"single_word": false,
|
| 97 |
-
"special": true
|
| 98 |
-
},
|
| 99 |
-
"12": {
|
| 100 |
-
"content": "<|tool_response_start|>",
|
| 101 |
-
"lstrip": false,
|
| 102 |
-
"normalized": false,
|
| 103 |
-
"rstrip": false,
|
| 104 |
-
"single_word": false,
|
| 105 |
-
"special": true
|
| 106 |
-
},
|
| 107 |
-
"13": {
|
| 108 |
-
"content": "<|tool_response_end|>",
|
| 109 |
-
"lstrip": false,
|
| 110 |
-
"normalized": false,
|
| 111 |
-
"rstrip": false,
|
| 112 |
-
"single_word": false,
|
| 113 |
-
"special": true
|
| 114 |
-
},
|
| 115 |
-
"16": {
|
| 116 |
-
"content": "<|reserved_6|>",
|
| 117 |
-
"lstrip": false,
|
| 118 |
-
"normalized": false,
|
| 119 |
-
"rstrip": false,
|
| 120 |
-
"single_word": false,
|
| 121 |
-
"special": true
|
| 122 |
-
},
|
| 123 |
-
"17": {
|
| 124 |
-
"content": "<|reserved_7|>",
|
| 125 |
-
"lstrip": false,
|
| 126 |
-
"normalized": false,
|
| 127 |
-
"rstrip": false,
|
| 128 |
-
"single_word": false,
|
| 129 |
-
"special": true
|
| 130 |
-
},
|
| 131 |
-
"18": {
|
| 132 |
-
"content": "<|reserved_8|>",
|
| 133 |
-
"lstrip": false,
|
| 134 |
-
"normalized": false,
|
| 135 |
-
"rstrip": false,
|
| 136 |
-
"single_word": false,
|
| 137 |
-
"special": true
|
| 138 |
-
},
|
| 139 |
-
"19": {
|
| 140 |
-
"content": "<|reserved_9|>",
|
| 141 |
-
"lstrip": false,
|
| 142 |
-
"normalized": false,
|
| 143 |
-
"rstrip": false,
|
| 144 |
-
"single_word": false,
|
| 145 |
-
"special": true
|
| 146 |
-
},
|
| 147 |
-
"20": {
|
| 148 |
-
"content": "<|reserved_10|>",
|
| 149 |
-
"lstrip": false,
|
| 150 |
-
"normalized": false,
|
| 151 |
-
"rstrip": false,
|
| 152 |
-
"single_word": false,
|
| 153 |
-
"special": true
|
| 154 |
-
},
|
| 155 |
-
"21": {
|
| 156 |
-
"content": "<|reserved_11|>",
|
| 157 |
-
"lstrip": false,
|
| 158 |
-
"normalized": false,
|
| 159 |
-
"rstrip": false,
|
| 160 |
-
"single_word": false,
|
| 161 |
-
"special": true
|
| 162 |
-
},
|
| 163 |
-
"22": {
|
| 164 |
-
"content": "<|reserved_12|>",
|
| 165 |
-
"lstrip": false,
|
| 166 |
-
"normalized": false,
|
| 167 |
-
"rstrip": false,
|
| 168 |
-
"single_word": false,
|
| 169 |
-
"special": true
|
| 170 |
-
},
|
| 171 |
-
"23": {
|
| 172 |
-
"content": "<|reserved_13|>",
|
| 173 |
-
"lstrip": false,
|
| 174 |
-
"normalized": false,
|
| 175 |
-
"rstrip": false,
|
| 176 |
-
"single_word": false,
|
| 177 |
-
"special": true
|
| 178 |
-
},
|
| 179 |
-
"24": {
|
| 180 |
-
"content": "<|reserved_14|>",
|
| 181 |
-
"lstrip": false,
|
| 182 |
-
"normalized": false,
|
| 183 |
-
"rstrip": false,
|
| 184 |
-
"single_word": false,
|
| 185 |
-
"special": true
|
| 186 |
-
},
|
| 187 |
-
"25": {
|
| 188 |
-
"content": "<|reserved_15|>",
|
| 189 |
-
"lstrip": false,
|
| 190 |
-
"normalized": false,
|
| 191 |
-
"rstrip": false,
|
| 192 |
-
"single_word": false,
|
| 193 |
-
"special": true
|
| 194 |
-
},
|
| 195 |
-
"26": {
|
| 196 |
-
"content": "<|reserved_16|>",
|
| 197 |
-
"lstrip": false,
|
| 198 |
-
"normalized": false,
|
| 199 |
-
"rstrip": false,
|
| 200 |
-
"single_word": false,
|
| 201 |
-
"special": true
|
| 202 |
-
},
|
| 203 |
-
"27": {
|
| 204 |
-
"content": "<|reserved_17|>",
|
| 205 |
-
"lstrip": false,
|
| 206 |
-
"normalized": false,
|
| 207 |
-
"rstrip": false,
|
| 208 |
-
"single_word": false,
|
| 209 |
-
"special": true
|
| 210 |
-
},
|
| 211 |
-
"28": {
|
| 212 |
-
"content": "<|reserved_18|>",
|
| 213 |
-
"lstrip": false,
|
| 214 |
-
"normalized": false,
|
| 215 |
-
"rstrip": false,
|
| 216 |
-
"single_word": false,
|
| 217 |
-
"special": true
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| 218 |
-
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|
| 1499 |
-
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|
| 1500 |
-
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|
| 1501 |
-
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|
| 1502 |
-
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|
| 1503 |
-
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|
| 1504 |
-
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|
| 1505 |
-
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|
| 1506 |
-
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|
| 1507 |
-
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|
| 1508 |
-
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|
| 1509 |
-
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|
| 1510 |
-
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|
| 1511 |
-
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|
| 1512 |
-
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|
| 1513 |
-
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|
| 1514 |
-
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|
| 1515 |
-
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|
| 1516 |
-
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|
| 1517 |
-
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|
| 1518 |
-
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|
| 1519 |
-
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|
| 1520 |
-
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|
| 1521 |
-
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|
| 1522 |
-
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|
| 1523 |
-
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|
| 1524 |
-
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|
| 1525 |
-
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|
| 1526 |
-
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|
| 1527 |
-
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|
| 1528 |
-
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|
| 1529 |
-
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|
| 1530 |
-
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|
| 1531 |
-
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|
| 1532 |
-
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|
| 1533 |
-
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|
| 1534 |
-
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|
| 1535 |
-
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|
| 1536 |
-
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|
| 1537 |
-
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|
| 1538 |
-
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|
| 1539 |
-
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|
| 1540 |
-
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|
| 1541 |
-
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|
| 1542 |
-
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|
| 1543 |
-
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|
| 1544 |
-
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|
| 1545 |
-
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|
| 1546 |
-
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|
| 1547 |
-
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|
| 1548 |
-
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|
| 1549 |
-
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|
| 1550 |
-
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|
| 1551 |
-
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|
| 1552 |
-
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|
| 1553 |
-
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|
| 1554 |
-
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|
| 1555 |
-
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|
| 1556 |
-
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|
| 1557 |
-
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|
| 1558 |
-
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|
| 1559 |
-
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|
| 1560 |
-
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|
| 1561 |
-
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|
| 1562 |
-
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|
| 1563 |
-
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|
| 1564 |
-
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|
| 1565 |
-
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|
| 1566 |
-
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|
| 1567 |
-
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|
| 1568 |
-
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|
| 1569 |
-
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|
| 1570 |
-
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|
| 1571 |
-
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|
| 1572 |
-
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|
| 1573 |
-
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|
| 1574 |
-
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|
| 1575 |
-
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|
| 1576 |
-
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|
| 1577 |
-
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|
| 1578 |
-
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|
| 1579 |
-
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|
| 1580 |
-
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|
| 1581 |
-
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|
| 1582 |
-
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|
| 1583 |
-
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|
| 1584 |
-
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|
| 1585 |
-
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|
| 1586 |
-
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|
| 1587 |
-
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|
| 1588 |
-
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|
| 1589 |
-
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|
| 1590 |
-
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|
| 1591 |
-
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|
| 1592 |
-
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|
| 1593 |
-
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|
| 1594 |
-
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|
| 1595 |
-
"201": {
|
| 1596 |
-
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|
| 1597 |
-
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|
| 1598 |
-
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|
| 1599 |
-
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|
| 1600 |
-
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|
| 1601 |
-
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|
| 1602 |
-
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|
| 1603 |
-
"202": {
|
| 1604 |
-
"content": "<|reserved_192|>",
|
| 1605 |
-
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|
| 1606 |
-
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|
| 1607 |
-
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|
| 1608 |
-
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|
| 1609 |
-
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|
| 1610 |
-
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|
| 1611 |
-
"203": {
|
| 1612 |
-
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|
| 1613 |
-
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|
| 1614 |
-
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|
| 1615 |
-
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|
| 1616 |
-
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|
| 1617 |
-
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|
| 1618 |
-
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|
| 1619 |
-
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|
| 1620 |
-
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|
| 1621 |
-
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|
| 1622 |
-
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|
| 1623 |
-
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|
| 1624 |
-
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|
| 1625 |
-
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|
| 1626 |
-
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|
| 1627 |
-
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|
| 1628 |
-
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|
| 1629 |
-
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|
| 1630 |
-
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|
| 1631 |
-
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|
| 1632 |
-
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|
| 1633 |
-
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|
| 1634 |
-
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|
| 1635 |
-
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|
| 1636 |
-
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|
| 1637 |
-
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|
| 1638 |
-
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|
| 1639 |
-
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|
| 1640 |
-
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|
| 1641 |
-
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|
| 1642 |
-
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|
| 1643 |
-
"207": {
|
| 1644 |
-
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|
| 1645 |
-
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|
| 1646 |
-
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|
| 1647 |
-
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|
| 1648 |
-
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|
| 1649 |
-
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|
| 1650 |
-
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|
| 1651 |
-
"208": {
|
| 1652 |
-
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|
| 1653 |
-
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|
| 1654 |
-
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|
| 1655 |
-
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|
| 1656 |
-
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|
| 1657 |
-
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|
| 1658 |
-
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|
| 1659 |
-
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|
| 1660 |
-
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|
| 1661 |
-
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|
| 1662 |
-
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|
| 1663 |
-
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|
| 1664 |
-
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|
| 1665 |
-
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|
| 1666 |
-
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|
| 1667 |
-
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|
| 1668 |
-
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|
| 1669 |
-
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|
| 1670 |
-
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|
| 1671 |
-
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|
| 1672 |
-
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|
| 1673 |
-
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|
| 1674 |
-
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|
| 1675 |
-
"211": {
|
| 1676 |
-
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|
| 1677 |
-
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|
| 1678 |
-
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|
| 1679 |
-
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|
| 1680 |
-
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|
| 1681 |
-
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|
| 1682 |
-
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|
| 1683 |
-
"212": {
|
| 1684 |
-
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|
| 1685 |
-
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|
| 1686 |
-
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|
| 1687 |
-
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|
| 1688 |
-
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|
| 1689 |
-
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|
| 1690 |
-
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|
| 1691 |
-
"213": {
|
| 1692 |
-
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|
| 1693 |
-
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|
| 1694 |
-
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|
| 1695 |
-
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|
| 1696 |
-
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|
| 1697 |
-
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|
| 1698 |
-
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|
| 1699 |
-
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|
| 1700 |
-
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|
| 1701 |
-
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|
| 1702 |
-
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|
| 1703 |
-
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|
| 1704 |
-
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|
| 1705 |
-
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|
| 1706 |
-
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|
| 1707 |
-
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|
| 1708 |
-
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|
| 1709 |
-
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|
| 1710 |
-
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|
| 1711 |
-
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|
| 1712 |
-
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|
| 1713 |
-
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|
| 1714 |
-
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|
| 1715 |
-
"216": {
|
| 1716 |
-
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|
| 1717 |
-
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|
| 1718 |
-
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|
| 1719 |
-
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|
| 1720 |
-
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|
| 1721 |
-
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|
| 1722 |
-
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|
| 1723 |
-
"217": {
|
| 1724 |
-
"content": "<|reserved_207|>",
|
| 1725 |
-
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|
| 1726 |
-
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|
| 1727 |
-
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|
| 1728 |
-
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|
| 1729 |
-
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|
| 1730 |
-
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|
| 1731 |
-
"218": {
|
| 1732 |
-
"content": "<|reserved_208|>",
|
| 1733 |
-
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|
| 1734 |
-
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|
| 1735 |
-
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|
| 1736 |
-
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|
| 1737 |
-
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|
| 1738 |
-
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|
| 1739 |
-
"219": {
|
| 1740 |
-
"content": "<|reserved_209|>",
|
| 1741 |
-
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|
| 1742 |
-
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|
| 1743 |
-
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|
| 1744 |
-
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|
| 1745 |
-
"special": true
|
| 1746 |
-
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|
| 1747 |
-
"220": {
|
| 1748 |
-
"content": "<|reserved_210|>",
|
| 1749 |
-
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|
| 1750 |
-
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|
| 1751 |
-
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|
| 1752 |
-
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|
| 1753 |
-
"special": true
|
| 1754 |
-
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|
| 1755 |
-
"221": {
|
| 1756 |
-
"content": "<|reserved_211|>",
|
| 1757 |
-
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|
| 1758 |
-
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|
| 1759 |
-
"rstrip": false,
|
| 1760 |
-
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|
| 1761 |
-
"special": true
|
| 1762 |
-
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|
| 1763 |
-
"222": {
|
| 1764 |
-
"content": "<|reserved_212|>",
|
| 1765 |
-
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|
| 1766 |
-
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|
| 1767 |
-
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|
| 1768 |
-
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|
| 1769 |
-
"special": true
|
| 1770 |
-
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|
| 1771 |
-
"223": {
|
| 1772 |
-
"content": "<|reserved_213|>",
|
| 1773 |
-
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|
| 1774 |
-
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|
| 1775 |
-
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|
| 1776 |
-
"single_word": false,
|
| 1777 |
-
"special": true
|
| 1778 |
-
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|
| 1779 |
-
"224": {
|
| 1780 |
-
"content": "<|reserved_214|>",
|
| 1781 |
-
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|
| 1782 |
-
"normalized": false,
|
| 1783 |
-
"rstrip": false,
|
| 1784 |
-
"single_word": false,
|
| 1785 |
-
"special": true
|
| 1786 |
-
},
|
| 1787 |
-
"225": {
|
| 1788 |
-
"content": "<|reserved_215|>",
|
| 1789 |
-
"lstrip": false,
|
| 1790 |
-
"normalized": false,
|
| 1791 |
-
"rstrip": false,
|
| 1792 |
-
"single_word": false,
|
| 1793 |
-
"special": true
|
| 1794 |
-
},
|
| 1795 |
-
"226": {
|
| 1796 |
-
"content": "<|reserved_216|>",
|
| 1797 |
-
"lstrip": false,
|
| 1798 |
-
"normalized": false,
|
| 1799 |
-
"rstrip": false,
|
| 1800 |
-
"single_word": false,
|
| 1801 |
-
"special": true
|
| 1802 |
-
},
|
| 1803 |
-
"227": {
|
| 1804 |
-
"content": "<|reserved_217|>",
|
| 1805 |
-
"lstrip": false,
|
| 1806 |
-
"normalized": false,
|
| 1807 |
-
"rstrip": false,
|
| 1808 |
-
"single_word": false,
|
| 1809 |
-
"special": true
|
| 1810 |
-
},
|
| 1811 |
-
"228": {
|
| 1812 |
-
"content": "<|reserved_218|>",
|
| 1813 |
-
"lstrip": false,
|
| 1814 |
-
"normalized": false,
|
| 1815 |
-
"rstrip": false,
|
| 1816 |
-
"single_word": false,
|
| 1817 |
-
"special": true
|
| 1818 |
-
},
|
| 1819 |
-
"229": {
|
| 1820 |
-
"content": "<|reserved_219|>",
|
| 1821 |
-
"lstrip": false,
|
| 1822 |
-
"normalized": false,
|
| 1823 |
-
"rstrip": false,
|
| 1824 |
-
"single_word": false,
|
| 1825 |
-
"special": true
|
| 1826 |
-
},
|
| 1827 |
-
"230": {
|
| 1828 |
-
"content": "<|reserved_220|>",
|
| 1829 |
-
"lstrip": false,
|
| 1830 |
-
"normalized": false,
|
| 1831 |
-
"rstrip": false,
|
| 1832 |
-
"single_word": false,
|
| 1833 |
-
"special": true
|
| 1834 |
-
},
|
| 1835 |
-
"231": {
|
| 1836 |
-
"content": "<|reserved_221|>",
|
| 1837 |
-
"lstrip": false,
|
| 1838 |
-
"normalized": false,
|
| 1839 |
-
"rstrip": false,
|
| 1840 |
-
"single_word": false,
|
| 1841 |
-
"special": true
|
| 1842 |
-
},
|
| 1843 |
-
"232": {
|
| 1844 |
-
"content": "<|reserved_222|>",
|
| 1845 |
-
"lstrip": false,
|
| 1846 |
-
"normalized": false,
|
| 1847 |
-
"rstrip": false,
|
| 1848 |
-
"single_word": false,
|
| 1849 |
-
"special": true
|
| 1850 |
-
},
|
| 1851 |
-
"233": {
|
| 1852 |
-
"content": "<|reserved_223|>",
|
| 1853 |
-
"lstrip": false,
|
| 1854 |
-
"normalized": false,
|
| 1855 |
-
"rstrip": false,
|
| 1856 |
-
"single_word": false,
|
| 1857 |
-
"special": true
|
| 1858 |
-
},
|
| 1859 |
-
"234": {
|
| 1860 |
-
"content": "<|reserved_224|>",
|
| 1861 |
-
"lstrip": false,
|
| 1862 |
-
"normalized": false,
|
| 1863 |
-
"rstrip": false,
|
| 1864 |
-
"single_word": false,
|
| 1865 |
-
"special": true
|
| 1866 |
-
},
|
| 1867 |
-
"235": {
|
| 1868 |
-
"content": "<|reserved_225|>",
|
| 1869 |
-
"lstrip": false,
|
| 1870 |
-
"normalized": false,
|
| 1871 |
-
"rstrip": false,
|
| 1872 |
-
"single_word": false,
|
| 1873 |
-
"special": true
|
| 1874 |
-
},
|
| 1875 |
-
"236": {
|
| 1876 |
-
"content": "<|reserved_226|>",
|
| 1877 |
-
"lstrip": false,
|
| 1878 |
-
"normalized": false,
|
| 1879 |
-
"rstrip": false,
|
| 1880 |
-
"single_word": false,
|
| 1881 |
-
"special": true
|
| 1882 |
-
},
|
| 1883 |
-
"237": {
|
| 1884 |
-
"content": "<|reserved_227|>",
|
| 1885 |
-
"lstrip": false,
|
| 1886 |
-
"normalized": false,
|
| 1887 |
-
"rstrip": false,
|
| 1888 |
-
"single_word": false,
|
| 1889 |
-
"special": true
|
| 1890 |
-
},
|
| 1891 |
-
"238": {
|
| 1892 |
-
"content": "<|reserved_228|>",
|
| 1893 |
-
"lstrip": false,
|
| 1894 |
-
"normalized": false,
|
| 1895 |
-
"rstrip": false,
|
| 1896 |
-
"single_word": false,
|
| 1897 |
-
"special": true
|
| 1898 |
-
},
|
| 1899 |
-
"239": {
|
| 1900 |
-
"content": "<|reserved_229|>",
|
| 1901 |
-
"lstrip": false,
|
| 1902 |
-
"normalized": false,
|
| 1903 |
-
"rstrip": false,
|
| 1904 |
-
"single_word": false,
|
| 1905 |
-
"special": true
|
| 1906 |
-
},
|
| 1907 |
-
"240": {
|
| 1908 |
-
"content": "<|reserved_230|>",
|
| 1909 |
-
"lstrip": false,
|
| 1910 |
-
"normalized": false,
|
| 1911 |
-
"rstrip": false,
|
| 1912 |
-
"single_word": false,
|
| 1913 |
-
"special": true
|
| 1914 |
-
},
|
| 1915 |
-
"241": {
|
| 1916 |
-
"content": "<|reserved_231|>",
|
| 1917 |
-
"lstrip": false,
|
| 1918 |
-
"normalized": false,
|
| 1919 |
-
"rstrip": false,
|
| 1920 |
-
"single_word": false,
|
| 1921 |
-
"special": true
|
| 1922 |
-
},
|
| 1923 |
-
"242": {
|
| 1924 |
-
"content": "<|reserved_232|>",
|
| 1925 |
-
"lstrip": false,
|
| 1926 |
-
"normalized": false,
|
| 1927 |
-
"rstrip": false,
|
| 1928 |
-
"single_word": false,
|
| 1929 |
-
"special": true
|
| 1930 |
-
},
|
| 1931 |
-
"243": {
|
| 1932 |
-
"content": "<|reserved_233|>",
|
| 1933 |
-
"lstrip": false,
|
| 1934 |
-
"normalized": false,
|
| 1935 |
-
"rstrip": false,
|
| 1936 |
-
"single_word": false,
|
| 1937 |
-
"special": true
|
| 1938 |
-
},
|
| 1939 |
-
"244": {
|
| 1940 |
-
"content": "<|reserved_234|>",
|
| 1941 |
-
"lstrip": false,
|
| 1942 |
-
"normalized": false,
|
| 1943 |
-
"rstrip": false,
|
| 1944 |
-
"single_word": false,
|
| 1945 |
-
"special": true
|
| 1946 |
-
},
|
| 1947 |
-
"245": {
|
| 1948 |
-
"content": "<|reserved_235|>",
|
| 1949 |
-
"lstrip": false,
|
| 1950 |
-
"normalized": false,
|
| 1951 |
-
"rstrip": false,
|
| 1952 |
-
"single_word": false,
|
| 1953 |
-
"special": true
|
| 1954 |
-
},
|
| 1955 |
-
"246": {
|
| 1956 |
-
"content": "<|reserved_236|>",
|
| 1957 |
-
"lstrip": false,
|
| 1958 |
-
"normalized": false,
|
| 1959 |
-
"rstrip": false,
|
| 1960 |
-
"single_word": false,
|
| 1961 |
-
"special": true
|
| 1962 |
-
},
|
| 1963 |
-
"247": {
|
| 1964 |
-
"content": "<|reserved_237|>",
|
| 1965 |
-
"lstrip": false,
|
| 1966 |
-
"normalized": false,
|
| 1967 |
-
"rstrip": false,
|
| 1968 |
-
"single_word": false,
|
| 1969 |
-
"special": true
|
| 1970 |
-
},
|
| 1971 |
-
"248": {
|
| 1972 |
-
"content": "<|reserved_238|>",
|
| 1973 |
-
"lstrip": false,
|
| 1974 |
-
"normalized": false,
|
| 1975 |
-
"rstrip": false,
|
| 1976 |
-
"single_word": false,
|
| 1977 |
-
"special": true
|
| 1978 |
-
},
|
| 1979 |
-
"249": {
|
| 1980 |
-
"content": "<|reserved_239|>",
|
| 1981 |
-
"lstrip": false,
|
| 1982 |
-
"normalized": false,
|
| 1983 |
-
"rstrip": false,
|
| 1984 |
-
"single_word": false,
|
| 1985 |
-
"special": true
|
| 1986 |
-
},
|
| 1987 |
-
"250": {
|
| 1988 |
-
"content": "<|reserved_240|>",
|
| 1989 |
-
"lstrip": false,
|
| 1990 |
-
"normalized": false,
|
| 1991 |
-
"rstrip": false,
|
| 1992 |
-
"single_word": false,
|
| 1993 |
-
"special": true
|
| 1994 |
-
},
|
| 1995 |
-
"251": {
|
| 1996 |
-
"content": "<|reserved_241|>",
|
| 1997 |
-
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|
| 1998 |
-
"normalized": false,
|
| 1999 |
-
"rstrip": false,
|
| 2000 |
-
"single_word": false,
|
| 2001 |
-
"special": true
|
| 2002 |
-
},
|
| 2003 |
-
"252": {
|
| 2004 |
-
"content": "<|reserved_242|>",
|
| 2005 |
-
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|
| 2006 |
-
"normalized": false,
|
| 2007 |
-
"rstrip": false,
|
| 2008 |
-
"single_word": false,
|
| 2009 |
-
"special": true
|
| 2010 |
-
},
|
| 2011 |
-
"253": {
|
| 2012 |
-
"content": "<|reserved_243|>",
|
| 2013 |
-
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|
| 2014 |
-
"normalized": false,
|
| 2015 |
-
"rstrip": false,
|
| 2016 |
-
"single_word": false,
|
| 2017 |
-
"special": true
|
| 2018 |
-
},
|
| 2019 |
-
"254": {
|
| 2020 |
-
"content": "<|reserved_244|>",
|
| 2021 |
-
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|
| 2022 |
-
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|
| 2023 |
-
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|
| 2024 |
-
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|
| 2025 |
-
"special": true
|
| 2026 |
-
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|
| 2027 |
-
"255": {
|
| 2028 |
-
"content": "<|reserved_245|>",
|
| 2029 |
-
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|
| 2030 |
-
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|
| 2031 |
-
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|
| 2032 |
-
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|
| 2033 |
-
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|
| 2034 |
-
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|
| 2035 |
-
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|
| 2036 |
-
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|
| 2037 |
-
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|
| 2038 |
-
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|
| 2039 |
-
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|
| 2040 |
-
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|
| 2041 |
-
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|
| 2042 |
-
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|
| 2043 |
-
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|
| 2044 |
-
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|
| 2045 |
-
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|
| 2046 |
-
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|
| 2047 |
-
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|
| 2048 |
-
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|
| 2049 |
-
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|
| 2050 |
-
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|
| 2051 |
-
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| 2052 |
-
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| 2053 |
-
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|
| 2054 |
-
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| 2055 |
-
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|
| 2056 |
-
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|
| 2057 |
-
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|
| 2058 |
-
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|
| 2059 |
-
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|
| 2060 |
-
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| 2061 |
-
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|
| 2062 |
-
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-
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| 2064 |
-
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| 2065 |
-
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|
| 2066 |
-
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| 2067 |
-
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| 2068 |
-
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| 2069 |
-
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| 2070 |
-
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| 2072 |
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| 2073 |
-
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| 2074 |
-
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|
| 2075 |
-
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| 2076 |
-
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| 2077 |
-
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-
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| 2080 |
-
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| 2081 |
-
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|
| 2082 |
-
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|
| 2083 |
-
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| 2084 |
-
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| 2085 |
-
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| 2088 |
-
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| 2089 |
-
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|
| 2090 |
-
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| 2091 |
-
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| 2092 |
-
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| 2093 |
-
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|
| 2094 |
-
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| 2096 |
-
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| 2097 |
-
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|
| 2098 |
-
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| 2099 |
-
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| 2100 |
-
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| 2101 |
-
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| 2105 |
-
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| 2106 |
-
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| 2107 |
-
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| 2108 |
-
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| 2109 |
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| 2110 |
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| 2112 |
-
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| 2113 |
-
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| 2114 |
-
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| 2115 |
-
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| 2116 |
-
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| 2117 |
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| 2119 |
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| 2121 |
-
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|
| 2122 |
-
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| 2123 |
-
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| 2124 |
-
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| 2125 |
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| 2126 |
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| 2129 |
-
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| 2130 |
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| 2131 |
-
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| 2132 |
-
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| 2133 |
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| 2134 |
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| 2137 |
-
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| 2138 |
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| 2139 |
-
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| 2140 |
-
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| 2141 |
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| 2142 |
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| 2144 |
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| 2145 |
-
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|
| 2146 |
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| 2147 |
-
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| 2148 |
-
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| 2149 |
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| 2150 |
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| 2152 |
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| 2153 |
-
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|
| 2154 |
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| 2155 |
-
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| 2156 |
-
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| 2157 |
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| 2160 |
-
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| 2161 |
-
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|
| 2162 |
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|
| 2163 |
-
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|
| 2164 |
-
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| 2165 |
-
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| 2166 |
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| 2168 |
-
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| 2169 |
-
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| 2170 |
-
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|
| 2171 |
-
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|
| 2172 |
-
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| 2173 |
-
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| 2174 |
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|
| 2176 |
-
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| 2177 |
-
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|
| 2178 |
-
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|
| 2179 |
-
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|
| 2180 |
-
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|
| 2181 |
-
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| 2182 |
-
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|
| 2184 |
-
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|
| 2185 |
-
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|
| 2186 |
-
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|
| 2187 |
-
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|
| 2188 |
-
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| 2189 |
-
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|
| 2190 |
-
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| 2191 |
-
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|
| 2192 |
-
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|
| 2193 |
-
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|
| 2194 |
-
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|
| 2195 |
-
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|
| 2196 |
-
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|
| 2197 |
-
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|
| 2198 |
-
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| 2199 |
-
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|
| 2200 |
-
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|
| 2201 |
-
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|
| 2202 |
-
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|
| 2203 |
-
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|
| 2204 |
-
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| 2205 |
-
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|
| 2206 |
-
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|
| 2207 |
-
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|
| 2208 |
-
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|
| 2209 |
-
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|
| 2210 |
-
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| 2211 |
-
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| 2212 |
-
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| 2213 |
-
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| 2214 |
-
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| 2215 |
-
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| 2216 |
-
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|
| 2217 |
-
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|
| 2218 |
-
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|
| 2219 |
-
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|
| 2220 |
-
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| 2221 |
-
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|
| 2222 |
-
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| 2223 |
-
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|
| 2224 |
-
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| 2225 |
-
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| 2226 |
-
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|
| 2227 |
-
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| 2228 |
-
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| 2229 |
-
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| 2230 |
-
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| 2231 |
-
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|
| 2232 |
-
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|
| 2233 |
-
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|
| 2234 |
-
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| 2235 |
-
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|
| 2236 |
-
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| 2237 |
-
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| 2238 |
-
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| 2239 |
-
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|
| 2240 |
-
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| 2241 |
-
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|
| 2242 |
-
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| 2243 |
-
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| 2244 |
-
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| 2245 |
-
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| 2246 |
-
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| 2247 |
-
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| 2248 |
-
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| 2249 |
-
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|
| 2250 |
-
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| 2251 |
-
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| 2252 |
-
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| 2253 |
-
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| 2254 |
-
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|
| 2255 |
-
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| 2256 |
-
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| 2257 |
-
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|
| 2258 |
-
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| 2259 |
-
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| 2260 |
-
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| 2261 |
-
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|
| 2262 |
-
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| 2263 |
-
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| 2264 |
-
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| 2265 |
-
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| 2266 |
-
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| 2267 |
-
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| 2268 |
-
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| 2269 |
-
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| 2270 |
-
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| 2271 |
-
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| 2272 |
-
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| 2273 |
-
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| 2274 |
-
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| 2275 |
-
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| 2276 |
-
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| 2277 |
-
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| 2278 |
-
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-
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| 2280 |
-
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| 2281 |
-
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| 2282 |
-
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| 2283 |
-
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| 2284 |
-
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| 2285 |
-
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| 2286 |
-
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| 2287 |
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| 2288 |
-
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| 2289 |
-
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| 2290 |
-
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| 2291 |
-
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| 2292 |
-
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| 2293 |
-
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| 2296 |
-
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| 2297 |
-
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| 2298 |
-
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| 2299 |
-
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| 2300 |
-
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| 2301 |
-
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-
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| 2304 |
-
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| 2305 |
-
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| 2306 |
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| 2307 |
-
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| 2308 |
-
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| 2309 |
-
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| 2310 |
-
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| 2312 |
-
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| 2313 |
-
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| 2314 |
-
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| 2315 |
-
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| 2316 |
-
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| 2317 |
-
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| 2320 |
-
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| 2321 |
-
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| 2322 |
-
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| 2323 |
-
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| 2324 |
-
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| 2325 |
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| 2329 |
-
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| 2330 |
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| 2331 |
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| 2332 |
-
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| 2333 |
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| 2336 |
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| 2337 |
-
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| 2338 |
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| 2340 |
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| 2341 |
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"rstrip": false,
|
| 3184 |
-
"single_word": false,
|
| 3185 |
-
"special": true
|
| 3186 |
-
},
|
| 3187 |
-
"400": {
|
| 3188 |
-
"content": "<|img_row_1_col_4|>",
|
| 3189 |
-
"lstrip": false,
|
| 3190 |
-
"normalized": false,
|
| 3191 |
-
"rstrip": false,
|
| 3192 |
-
"single_word": false,
|
| 3193 |
-
"special": true
|
| 3194 |
-
},
|
| 3195 |
-
"401": {
|
| 3196 |
-
"content": "<|img_row_1_col_5|>",
|
| 3197 |
-
"lstrip": false,
|
| 3198 |
-
"normalized": false,
|
| 3199 |
-
"rstrip": false,
|
| 3200 |
-
"single_word": false,
|
| 3201 |
-
"special": true
|
| 3202 |
-
},
|
| 3203 |
-
"402": {
|
| 3204 |
-
"content": "<|img_row_1_col_6|>",
|
| 3205 |
-
"lstrip": false,
|
| 3206 |
-
"normalized": false,
|
| 3207 |
-
"rstrip": false,
|
| 3208 |
-
"single_word": false,
|
| 3209 |
-
"special": true
|
| 3210 |
-
},
|
| 3211 |
-
"403": {
|
| 3212 |
-
"content": "<|img_row_1_col_7|>",
|
| 3213 |
-
"lstrip": false,
|
| 3214 |
-
"normalized": false,
|
| 3215 |
-
"rstrip": false,
|
| 3216 |
-
"single_word": false,
|
| 3217 |
-
"special": true
|
| 3218 |
-
},
|
| 3219 |
-
"404": {
|
| 3220 |
-
"content": "<|img_row_1_col_8|>",
|
| 3221 |
-
"lstrip": false,
|
| 3222 |
-
"normalized": false,
|
| 3223 |
-
"rstrip": false,
|
| 3224 |
-
"single_word": false,
|
| 3225 |
-
"special": true
|
| 3226 |
-
},
|
| 3227 |
-
"405": {
|
| 3228 |
-
"content": "<|img_row_1_col_9|>",
|
| 3229 |
-
"lstrip": false,
|
| 3230 |
-
"normalized": false,
|
| 3231 |
-
"rstrip": false,
|
| 3232 |
-
"single_word": false,
|
| 3233 |
-
"special": true
|
| 3234 |
-
},
|
| 3235 |
-
"406": {
|
| 3236 |
-
"content": "<|img_row_1_col_10|>",
|
| 3237 |
-
"lstrip": false,
|
| 3238 |
-
"normalized": false,
|
| 3239 |
-
"rstrip": false,
|
| 3240 |
-
"single_word": false,
|
| 3241 |
-
"special": true
|
| 3242 |
-
},
|
| 3243 |
-
"407": {
|
| 3244 |
-
"content": "<|img_row_2_col_1|>",
|
| 3245 |
-
"lstrip": false,
|
| 3246 |
-
"normalized": false,
|
| 3247 |
-
"rstrip": false,
|
| 3248 |
-
"single_word": false,
|
| 3249 |
-
"special": true
|
| 3250 |
-
},
|
| 3251 |
-
"408": {
|
| 3252 |
-
"content": "<|img_row_2_col_2|>",
|
| 3253 |
-
"lstrip": false,
|
| 3254 |
-
"normalized": false,
|
| 3255 |
-
"rstrip": false,
|
| 3256 |
-
"single_word": false,
|
| 3257 |
-
"special": true
|
| 3258 |
-
},
|
| 3259 |
-
"409": {
|
| 3260 |
-
"content": "<|img_row_2_col_3|>",
|
| 3261 |
-
"lstrip": false,
|
| 3262 |
-
"normalized": false,
|
| 3263 |
-
"rstrip": false,
|
| 3264 |
-
"single_word": false,
|
| 3265 |
-
"special": true
|
| 3266 |
-
},
|
| 3267 |
-
"410": {
|
| 3268 |
-
"content": "<|img_row_2_col_4|>",
|
| 3269 |
-
"lstrip": false,
|
| 3270 |
-
"normalized": false,
|
| 3271 |
-
"rstrip": false,
|
| 3272 |
-
"single_word": false,
|
| 3273 |
-
"special": true
|
| 3274 |
-
},
|
| 3275 |
-
"411": {
|
| 3276 |
-
"content": "<|img_row_2_col_5|>",
|
| 3277 |
-
"lstrip": false,
|
| 3278 |
-
"normalized": false,
|
| 3279 |
-
"rstrip": false,
|
| 3280 |
-
"single_word": false,
|
| 3281 |
-
"special": true
|
| 3282 |
-
},
|
| 3283 |
-
"412": {
|
| 3284 |
-
"content": "<|img_row_2_col_6|>",
|
| 3285 |
-
"lstrip": false,
|
| 3286 |
-
"normalized": false,
|
| 3287 |
-
"rstrip": false,
|
| 3288 |
-
"single_word": false,
|
| 3289 |
-
"special": true
|
| 3290 |
-
},
|
| 3291 |
-
"413": {
|
| 3292 |
-
"content": "<|img_row_2_col_7|>",
|
| 3293 |
-
"lstrip": false,
|
| 3294 |
-
"normalized": false,
|
| 3295 |
-
"rstrip": false,
|
| 3296 |
-
"single_word": false,
|
| 3297 |
-
"special": true
|
| 3298 |
-
},
|
| 3299 |
-
"414": {
|
| 3300 |
-
"content": "<|img_row_2_col_8|>",
|
| 3301 |
-
"lstrip": false,
|
| 3302 |
-
"normalized": false,
|
| 3303 |
-
"rstrip": false,
|
| 3304 |
-
"single_word": false,
|
| 3305 |
-
"special": true
|
| 3306 |
-
},
|
| 3307 |
-
"415": {
|
| 3308 |
-
"content": "<|img_row_2_col_9|>",
|
| 3309 |
-
"lstrip": false,
|
| 3310 |
-
"normalized": false,
|
| 3311 |
-
"rstrip": false,
|
| 3312 |
-
"single_word": false,
|
| 3313 |
-
"special": true
|
| 3314 |
-
},
|
| 3315 |
-
"416": {
|
| 3316 |
-
"content": "<|img_row_2_col_10|>",
|
| 3317 |
-
"lstrip": false,
|
| 3318 |
-
"normalized": false,
|
| 3319 |
-
"rstrip": false,
|
| 3320 |
-
"single_word": false,
|
| 3321 |
-
"special": true
|
| 3322 |
-
},
|
| 3323 |
-
"417": {
|
| 3324 |
-
"content": "<|img_row_3_col_1|>",
|
| 3325 |
-
"lstrip": false,
|
| 3326 |
-
"normalized": false,
|
| 3327 |
-
"rstrip": false,
|
| 3328 |
-
"single_word": false,
|
| 3329 |
-
"special": true
|
| 3330 |
-
},
|
| 3331 |
-
"418": {
|
| 3332 |
-
"content": "<|img_row_3_col_2|>",
|
| 3333 |
-
"lstrip": false,
|
| 3334 |
-
"normalized": false,
|
| 3335 |
-
"rstrip": false,
|
| 3336 |
-
"single_word": false,
|
| 3337 |
-
"special": true
|
| 3338 |
-
},
|
| 3339 |
-
"419": {
|
| 3340 |
-
"content": "<|img_row_3_col_3|>",
|
| 3341 |
-
"lstrip": false,
|
| 3342 |
-
"normalized": false,
|
| 3343 |
-
"rstrip": false,
|
| 3344 |
-
"single_word": false,
|
| 3345 |
-
"special": true
|
| 3346 |
-
},
|
| 3347 |
-
"420": {
|
| 3348 |
-
"content": "<|img_row_3_col_4|>",
|
| 3349 |
-
"lstrip": false,
|
| 3350 |
-
"normalized": false,
|
| 3351 |
-
"rstrip": false,
|
| 3352 |
-
"single_word": false,
|
| 3353 |
-
"special": true
|
| 3354 |
-
},
|
| 3355 |
-
"421": {
|
| 3356 |
-
"content": "<|img_row_3_col_5|>",
|
| 3357 |
-
"lstrip": false,
|
| 3358 |
-
"normalized": false,
|
| 3359 |
-
"rstrip": false,
|
| 3360 |
-
"single_word": false,
|
| 3361 |
-
"special": true
|
| 3362 |
-
},
|
| 3363 |
-
"422": {
|
| 3364 |
-
"content": "<|img_row_3_col_6|>",
|
| 3365 |
-
"lstrip": false,
|
| 3366 |
-
"normalized": false,
|
| 3367 |
-
"rstrip": false,
|
| 3368 |
-
"single_word": false,
|
| 3369 |
-
"special": true
|
| 3370 |
-
},
|
| 3371 |
-
"423": {
|
| 3372 |
-
"content": "<|img_row_3_col_7|>",
|
| 3373 |
-
"lstrip": false,
|
| 3374 |
-
"normalized": false,
|
| 3375 |
-
"rstrip": false,
|
| 3376 |
-
"single_word": false,
|
| 3377 |
-
"special": true
|
| 3378 |
-
},
|
| 3379 |
-
"424": {
|
| 3380 |
-
"content": "<|img_row_3_col_8|>",
|
| 3381 |
-
"lstrip": false,
|
| 3382 |
-
"normalized": false,
|
| 3383 |
-
"rstrip": false,
|
| 3384 |
-
"single_word": false,
|
| 3385 |
-
"special": true
|
| 3386 |
-
},
|
| 3387 |
-
"425": {
|
| 3388 |
-
"content": "<|img_row_3_col_9|>",
|
| 3389 |
-
"lstrip": false,
|
| 3390 |
-
"normalized": false,
|
| 3391 |
-
"rstrip": false,
|
| 3392 |
-
"single_word": false,
|
| 3393 |
-
"special": true
|
| 3394 |
-
},
|
| 3395 |
-
"426": {
|
| 3396 |
-
"content": "<|img_row_3_col_10|>",
|
| 3397 |
-
"lstrip": false,
|
| 3398 |
-
"normalized": false,
|
| 3399 |
-
"rstrip": false,
|
| 3400 |
-
"single_word": false,
|
| 3401 |
-
"special": true
|
| 3402 |
-
},
|
| 3403 |
-
"427": {
|
| 3404 |
-
"content": "<|img_row_4_col_1|>",
|
| 3405 |
-
"lstrip": false,
|
| 3406 |
-
"normalized": false,
|
| 3407 |
-
"rstrip": false,
|
| 3408 |
-
"single_word": false,
|
| 3409 |
-
"special": true
|
| 3410 |
-
},
|
| 3411 |
-
"428": {
|
| 3412 |
-
"content": "<|img_row_4_col_2|>",
|
| 3413 |
-
"lstrip": false,
|
| 3414 |
-
"normalized": false,
|
| 3415 |
-
"rstrip": false,
|
| 3416 |
-
"single_word": false,
|
| 3417 |
-
"special": true
|
| 3418 |
-
},
|
| 3419 |
-
"429": {
|
| 3420 |
-
"content": "<|img_row_4_col_3|>",
|
| 3421 |
-
"lstrip": false,
|
| 3422 |
-
"normalized": false,
|
| 3423 |
-
"rstrip": false,
|
| 3424 |
-
"single_word": false,
|
| 3425 |
-
"special": true
|
| 3426 |
-
},
|
| 3427 |
-
"430": {
|
| 3428 |
-
"content": "<|img_row_4_col_4|>",
|
| 3429 |
-
"lstrip": false,
|
| 3430 |
-
"normalized": false,
|
| 3431 |
-
"rstrip": false,
|
| 3432 |
-
"single_word": false,
|
| 3433 |
-
"special": true
|
| 3434 |
-
},
|
| 3435 |
-
"431": {
|
| 3436 |
-
"content": "<|img_row_4_col_5|>",
|
| 3437 |
-
"lstrip": false,
|
| 3438 |
-
"normalized": false,
|
| 3439 |
-
"rstrip": false,
|
| 3440 |
-
"single_word": false,
|
| 3441 |
-
"special": true
|
| 3442 |
-
},
|
| 3443 |
-
"432": {
|
| 3444 |
-
"content": "<|img_row_4_col_6|>",
|
| 3445 |
-
"lstrip": false,
|
| 3446 |
-
"normalized": false,
|
| 3447 |
-
"rstrip": false,
|
| 3448 |
-
"single_word": false,
|
| 3449 |
-
"special": true
|
| 3450 |
-
},
|
| 3451 |
-
"433": {
|
| 3452 |
-
"content": "<|img_row_4_col_7|>",
|
| 3453 |
-
"lstrip": false,
|
| 3454 |
-
"normalized": false,
|
| 3455 |
-
"rstrip": false,
|
| 3456 |
-
"single_word": false,
|
| 3457 |
-
"special": true
|
| 3458 |
-
},
|
| 3459 |
-
"434": {
|
| 3460 |
-
"content": "<|img_row_4_col_8|>",
|
| 3461 |
-
"lstrip": false,
|
| 3462 |
-
"normalized": false,
|
| 3463 |
-
"rstrip": false,
|
| 3464 |
-
"single_word": false,
|
| 3465 |
-
"special": true
|
| 3466 |
-
},
|
| 3467 |
-
"435": {
|
| 3468 |
-
"content": "<|img_row_4_col_9|>",
|
| 3469 |
-
"lstrip": false,
|
| 3470 |
-
"normalized": false,
|
| 3471 |
-
"rstrip": false,
|
| 3472 |
-
"single_word": false,
|
| 3473 |
-
"special": true
|
| 3474 |
-
},
|
| 3475 |
-
"436": {
|
| 3476 |
-
"content": "<|img_row_4_col_10|>",
|
| 3477 |
-
"lstrip": false,
|
| 3478 |
-
"normalized": false,
|
| 3479 |
-
"rstrip": false,
|
| 3480 |
-
"single_word": false,
|
| 3481 |
-
"special": true
|
| 3482 |
-
},
|
| 3483 |
-
"437": {
|
| 3484 |
-
"content": "<|img_row_5_col_1|>",
|
| 3485 |
-
"lstrip": false,
|
| 3486 |
-
"normalized": false,
|
| 3487 |
-
"rstrip": false,
|
| 3488 |
-
"single_word": false,
|
| 3489 |
-
"special": true
|
| 3490 |
-
},
|
| 3491 |
-
"438": {
|
| 3492 |
-
"content": "<|img_row_5_col_2|>",
|
| 3493 |
-
"lstrip": false,
|
| 3494 |
-
"normalized": false,
|
| 3495 |
-
"rstrip": false,
|
| 3496 |
-
"single_word": false,
|
| 3497 |
-
"special": true
|
| 3498 |
-
},
|
| 3499 |
-
"439": {
|
| 3500 |
-
"content": "<|img_row_5_col_3|>",
|
| 3501 |
-
"lstrip": false,
|
| 3502 |
-
"normalized": false,
|
| 3503 |
-
"rstrip": false,
|
| 3504 |
-
"single_word": false,
|
| 3505 |
-
"special": true
|
| 3506 |
-
},
|
| 3507 |
-
"440": {
|
| 3508 |
-
"content": "<|img_row_5_col_4|>",
|
| 3509 |
-
"lstrip": false,
|
| 3510 |
-
"normalized": false,
|
| 3511 |
-
"rstrip": false,
|
| 3512 |
-
"single_word": false,
|
| 3513 |
-
"special": true
|
| 3514 |
-
},
|
| 3515 |
-
"441": {
|
| 3516 |
-
"content": "<|img_row_5_col_5|>",
|
| 3517 |
-
"lstrip": false,
|
| 3518 |
-
"normalized": false,
|
| 3519 |
-
"rstrip": false,
|
| 3520 |
-
"single_word": false,
|
| 3521 |
-
"special": true
|
| 3522 |
-
},
|
| 3523 |
-
"442": {
|
| 3524 |
-
"content": "<|img_row_5_col_6|>",
|
| 3525 |
-
"lstrip": false,
|
| 3526 |
-
"normalized": false,
|
| 3527 |
-
"rstrip": false,
|
| 3528 |
-
"single_word": false,
|
| 3529 |
-
"special": true
|
| 3530 |
-
},
|
| 3531 |
-
"443": {
|
| 3532 |
-
"content": "<|img_row_5_col_7|>",
|
| 3533 |
-
"lstrip": false,
|
| 3534 |
-
"normalized": false,
|
| 3535 |
-
"rstrip": false,
|
| 3536 |
-
"single_word": false,
|
| 3537 |
-
"special": true
|
| 3538 |
-
},
|
| 3539 |
-
"444": {
|
| 3540 |
-
"content": "<|img_row_5_col_8|>",
|
| 3541 |
-
"lstrip": false,
|
| 3542 |
-
"normalized": false,
|
| 3543 |
-
"rstrip": false,
|
| 3544 |
-
"single_word": false,
|
| 3545 |
-
"special": true
|
| 3546 |
-
},
|
| 3547 |
-
"445": {
|
| 3548 |
-
"content": "<|img_row_5_col_9|>",
|
| 3549 |
-
"lstrip": false,
|
| 3550 |
-
"normalized": false,
|
| 3551 |
-
"rstrip": false,
|
| 3552 |
-
"single_word": false,
|
| 3553 |
-
"special": true
|
| 3554 |
-
},
|
| 3555 |
-
"446": {
|
| 3556 |
-
"content": "<|img_row_5_col_10|>",
|
| 3557 |
-
"lstrip": false,
|
| 3558 |
-
"normalized": false,
|
| 3559 |
-
"rstrip": false,
|
| 3560 |
-
"single_word": false,
|
| 3561 |
-
"special": true
|
| 3562 |
-
},
|
| 3563 |
-
"447": {
|
| 3564 |
-
"content": "<|img_row_6_col_1|>",
|
| 3565 |
-
"lstrip": false,
|
| 3566 |
-
"normalized": false,
|
| 3567 |
-
"rstrip": false,
|
| 3568 |
-
"single_word": false,
|
| 3569 |
-
"special": true
|
| 3570 |
-
},
|
| 3571 |
-
"448": {
|
| 3572 |
-
"content": "<|img_row_6_col_2|>",
|
| 3573 |
-
"lstrip": false,
|
| 3574 |
-
"normalized": false,
|
| 3575 |
-
"rstrip": false,
|
| 3576 |
-
"single_word": false,
|
| 3577 |
-
"special": true
|
| 3578 |
-
},
|
| 3579 |
-
"449": {
|
| 3580 |
-
"content": "<|img_row_6_col_3|>",
|
| 3581 |
-
"lstrip": false,
|
| 3582 |
-
"normalized": false,
|
| 3583 |
-
"rstrip": false,
|
| 3584 |
-
"single_word": false,
|
| 3585 |
-
"special": true
|
| 3586 |
-
},
|
| 3587 |
-
"450": {
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| 3588 |
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| 3589 |
-
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| 3590 |
-
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| 3591 |
-
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| 3592 |
-
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| 3593 |
-
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| 3594 |
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| 3595 |
-
"451": {
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| 3596 |
-
"content": "<|img_row_6_col_5|>",
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| 3597 |
-
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| 3598 |
-
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| 3599 |
-
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| 3600 |
-
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| 3601 |
-
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| 3602 |
-
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| 3603 |
-
"452": {
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| 3604 |
-
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| 3605 |
-
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| 3606 |
-
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| 3607 |
-
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| 3608 |
-
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| 3609 |
-
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| 3610 |
-
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| 3611 |
-
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| 3612 |
-
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| 3613 |
-
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| 3614 |
-
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| 3615 |
-
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| 3616 |
-
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| 3617 |
-
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| 3618 |
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| 3619 |
-
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| 3620 |
-
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| 3621 |
-
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| 3622 |
-
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| 3623 |
-
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| 3624 |
-
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| 3625 |
-
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| 3626 |
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| 3627 |
-
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| 3628 |
-
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| 3629 |
-
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| 3630 |
-
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| 3631 |
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| 3632 |
-
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| 3633 |
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| 3634 |
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| 3635 |
-
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| 3636 |
-
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| 3637 |
-
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| 3638 |
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| 3639 |
-
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| 3640 |
-
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| 3641 |
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| 3642 |
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| 3643 |
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| 3644 |
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| 3645 |
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| 3648 |
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|
| 3649 |
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| 3650 |
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| 3651 |
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| 3652 |
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| 3653 |
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| 3656 |
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| 3657 |
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| 3658 |
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| 3659 |
-
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| 3660 |
-
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| 3661 |
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-
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| 3664 |
-
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|
| 3665 |
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| 3666 |
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| 3667 |
-
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| 3668 |
-
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| 3669 |
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| 3670 |
-
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| 3671 |
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| 3672 |
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|
| 3673 |
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|
| 3674 |
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| 3675 |
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|
| 3676 |
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|
| 3677 |
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| 3678 |
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| 3679 |
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| 3680 |
-
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| 3681 |
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|
| 3682 |
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| 3683 |
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| 3684 |
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|
| 3685 |
-
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| 3686 |
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|
| 3687 |
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| 3688 |
-
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|
| 3689 |
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|
| 3690 |
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| 3691 |
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| 3692 |
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| 3693 |
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| 3694 |
-
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| 3695 |
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|
| 3696 |
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|
| 3697 |
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|
| 3698 |
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| 3699 |
-
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|
| 3700 |
-
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|
| 3701 |
-
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| 3702 |
-
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|
| 3703 |
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| 3704 |
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|
| 3705 |
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|
| 3706 |
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| 3707 |
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| 3708 |
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|
| 3709 |
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| 3710 |
-
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| 3711 |
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| 3712 |
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|
| 3713 |
-
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|
| 3714 |
-
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| 3715 |
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| 3716 |
-
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|
| 3717 |
-
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| 3718 |
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| 3719 |
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| 3720 |
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|
| 3721 |
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|
| 3722 |
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| 3723 |
-
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| 3724 |
-
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|
| 3725 |
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| 3726 |
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| 3727 |
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| 3728 |
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| 3729 |
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| 3730 |
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| 3731 |
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| 3732 |
-
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|
| 3733 |
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| 3734 |
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| 3735 |
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| 3736 |
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| 3737 |
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| 3738 |
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| 3739 |
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| 3740 |
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| 3741 |
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| 3742 |
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| 3744 |
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| 3745 |
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| 3746 |
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| 3747 |
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| 3748 |
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| 3749 |
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| 3750 |
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| 3752 |
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| 3753 |
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| 3754 |
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| 3756 |
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| 3757 |
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| 3760 |
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| 3761 |
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| 3762 |
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| 3763 |
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| 3764 |
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| 3765 |
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| 3768 |
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| 3769 |
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| 3770 |
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| 3773 |
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| 3775 |
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| 3777 |
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| 3778 |
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| 3779 |
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| 3780 |
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| 3784 |
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| 3785 |
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| 3786 |
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| 3787 |
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| 3788 |
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| 3789 |
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| 3790 |
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| 3793 |
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| 3794 |
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| 3795 |
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| 3796 |
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| 3800 |
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| 3801 |
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| 3802 |
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| 3803 |
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| 3804 |
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| 3805 |
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| 3808 |
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| 3809 |
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| 3810 |
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| 3811 |
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| 3812 |
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| 3813 |
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| 3814 |
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| 3816 |
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| 3817 |
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| 3818 |
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| 3819 |
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| 3820 |
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| 3821 |
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| 3824 |
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| 3825 |
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| 3826 |
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| 3827 |
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| 3828 |
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| 3829 |
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| 3830 |
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| 3832 |
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| 3833 |
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| 3834 |
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| 3835 |
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| 3836 |
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| 3837 |
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| 3839 |
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| 3840 |
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| 3844 |
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| 3845 |
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| 3849 |
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| 3850 |
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| 3853 |
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| 3857 |
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| 3858 |
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| 3860 |
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| 3861 |
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| 3864 |
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| 3865 |
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| 3866 |
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| 3867 |
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| 3868 |
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| 3869 |
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| 3874 |
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| 3875 |
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| 3877 |
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| 3880 |
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| 3882 |
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| 3884 |
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| 3885 |
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| 3888 |
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| 3889 |
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| 3890 |
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| 3892 |
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| 3893 |
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| 3895 |
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| 3897 |
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| 3898 |
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| 3899 |
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| 3900 |
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| 3901 |
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| 3904 |
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| 3905 |
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| 3906 |
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| 3907 |
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| 3908 |
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| 3909 |
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| 3910 |
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| 3911 |
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| 3912 |
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| 3913 |
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| 3914 |
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| 3916 |
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| 3917 |
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| 3919 |
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| 3920 |
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| 3921 |
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| 3922 |
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| 3923 |
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| 3924 |
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| 3925 |
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| 3926 |
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| 3927 |
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| 3928 |
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| 3929 |
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| 3930 |
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| 3931 |
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| 3932 |
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| 3933 |
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| 3934 |
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| 3935 |
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| 3936 |
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| 3937 |
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| 3938 |
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| 3939 |
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| 3940 |
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| 3941 |
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| 3944 |
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| 3945 |
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| 3946 |
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| 3948 |
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| 3949 |
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| 3950 |
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| 3953 |
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| 3954 |
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| 3955 |
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| 3956 |
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| 3957 |
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| 3960 |
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| 3961 |
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| 3962 |
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},
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| 3963 |
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"497": {
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| 3964 |
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| 3965 |
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| 3966 |
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| 3967 |
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| 3968 |
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| 3969 |
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| 3970 |
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| 3971 |
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| 3972 |
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"content": "<|image_start|>",
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| 3973 |
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| 3974 |
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| 3975 |
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| 3976 |
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| 3977 |
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| 3978 |
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| 3979 |
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"499": {
|
| 3980 |
-
"content": "<|image_end|>",
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| 3981 |
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| 3982 |
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| 3983 |
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| 3984 |
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| 3985 |
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| 3986 |
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| 3987 |
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"500": {
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| 3988 |
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"content": "<|image_split|>",
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| 3989 |
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| 3990 |
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| 3991 |
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| 3992 |
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| 3993 |
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| 3994 |
-
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| 3995 |
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| 3996 |
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| 3997 |
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| 3998 |
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| 3999 |
-
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| 4000 |
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| 4001 |
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| 4002 |
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| 4003 |
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| 4004 |
-
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| 4005 |
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| 4006 |
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| 4007 |
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| 4008 |
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| 4009 |
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| 4010 |
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| 4012 |
-
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| 4013 |
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| 4014 |
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| 4015 |
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| 4016 |
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| 4017 |
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| 4018 |
-
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| 4019 |
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| 4020 |
-
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| 4021 |
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| 4022 |
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| 4023 |
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| 4024 |
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| 4025 |
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| 4026 |
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| 4027 |
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| 4028 |
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| 4029 |
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| 4030 |
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| 4031 |
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| 4032 |
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| 4033 |
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| 4034 |
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| 4035 |
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| 4036 |
-
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| 4037 |
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| 4038 |
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| 4039 |
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| 4040 |
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| 4041 |
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| 4042 |
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| 4043 |
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| 4044 |
-
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| 4045 |
-
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| 4046 |
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| 4047 |
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| 4048 |
-
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| 4049 |
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| 4050 |
-
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| 4051 |
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| 4052 |
-
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| 4053 |
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| 4054 |
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| 4055 |
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| 4056 |
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| 4057 |
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| 4058 |
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| 4059 |
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| 4060 |
-
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| 4061 |
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| 4062 |
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| 4063 |
-
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| 4064 |
-
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| 4065 |
-
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| 4066 |
-
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| 4067 |
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| 4068 |
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| 4069 |
-
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| 4070 |
-
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| 4071 |
-
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| 4072 |
-
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| 4073 |
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| 4074 |
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| 4075 |
-
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| 4076 |
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| 4077 |
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| 4078 |
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| 4079 |
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| 4080 |
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| 4081 |
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| 4082 |
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| 4083 |
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|
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|
| 1 |
{
|
| 2 |
+
"backend": "tokenizers",
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|
| 3 |
"bos_token": "<|startoftext|>",
|
| 4 |
"clean_up_tokenization_spaces": false,
|
| 5 |
"eos_token": "<|im_end|>",
|
| 6 |
+
"extra_special_tokens": [],
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"legacy": false,
|
| 9 |
+
"model_input_names": [
|
| 10 |
+
"input_ids",
|
| 11 |
+
"attention_mask"
|
| 12 |
+
],
|
| 13 |
"model_max_length": 1000000000000000019884624838656,
|
| 14 |
+
"model_specific_special_tokens": {},
|
| 15 |
"pad_token": "<|pad|>",
|
| 16 |
+
"sp_model_kwargs": {},
|
| 17 |
+
"spaces_between_special_tokens": false,
|
| 18 |
+
"tokenizer_class": "TokenizersBackend",
|
| 19 |
+
"use_default_system_prompt": false,
|
| 20 |
+
"use_fast": true
|
| 21 |
}
|