Text Generation
Transformers
Safetensors
qwen3
Qwen3
GPTQ
Int8
量化修复
vLLM
conversational
text-generation-inference
8-bit precision
gptq
Instructions to use JunHowie/Qwen3-14B-GPTQ-Int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunHowie/Qwen3-14B-GPTQ-Int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="JunHowie/Qwen3-14B-GPTQ-Int8") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("JunHowie/Qwen3-14B-GPTQ-Int8") model = AutoModelForCausalLM.from_pretrained("JunHowie/Qwen3-14B-GPTQ-Int8", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use JunHowie/Qwen3-14B-GPTQ-Int8 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "JunHowie/Qwen3-14B-GPTQ-Int8" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JunHowie/Qwen3-14B-GPTQ-Int8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/JunHowie/Qwen3-14B-GPTQ-Int8
- SGLang
How to use JunHowie/Qwen3-14B-GPTQ-Int8 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "JunHowie/Qwen3-14B-GPTQ-Int8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JunHowie/Qwen3-14B-GPTQ-Int8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "JunHowie/Qwen3-14B-GPTQ-Int8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JunHowie/Qwen3-14B-GPTQ-Int8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use JunHowie/Qwen3-14B-GPTQ-Int8 with Docker Model Runner:
docker model run hf.co/JunHowie/Qwen3-14B-GPTQ-Int8
Upload folder using huggingface_hub
Browse files- chat_template.jinja +85 -0
- config.json +51 -6
- generation_config.json +1 -1
- model-00001-of-00005.safetensors +1 -1
- model-00002-of-00005.safetensors +1 -1
- model-00003-of-00005.safetensors +1 -1
- model-00004-of-00005.safetensors +1 -1
- quant_log.csv +281 -0
- quantize_config.json +8 -5
- tokenizer_config.json +0 -1
chat_template.jinja
ADDED
|
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 27 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 28 |
+
{%- elif message.role == "assistant" %}
|
| 29 |
+
{%- set content = message.content %}
|
| 30 |
+
{%- set reasoning_content = '' %}
|
| 31 |
+
{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
|
| 32 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 33 |
+
{%- else %}
|
| 34 |
+
{%- if '</think>' in message.content %}
|
| 35 |
+
{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
|
| 36 |
+
{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- endif %}
|
| 39 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 40 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 41 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 42 |
+
{%- else %}
|
| 43 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- if message.tool_calls %}
|
| 49 |
+
{%- for tool_call in message.tool_calls %}
|
| 50 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 51 |
+
{{- '\n' }}
|
| 52 |
+
{%- endif %}
|
| 53 |
+
{%- if tool_call.function %}
|
| 54 |
+
{%- set tool_call = tool_call.function %}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 57 |
+
{{- tool_call.name }}
|
| 58 |
+
{{- '", "arguments": ' }}
|
| 59 |
+
{%- if tool_call.arguments is string %}
|
| 60 |
+
{{- tool_call.arguments }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{{- tool_call.arguments | tojson }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- '}\n</tool_call>' }}
|
| 65 |
+
{%- endfor %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{{- '<|im_end|>\n' }}
|
| 68 |
+
{%- elif message.role == "tool" %}
|
| 69 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 70 |
+
{{- '<|im_start|>user' }}
|
| 71 |
+
{%- endif %}
|
| 72 |
+
{{- '\n<tool_response>\n' }}
|
| 73 |
+
{{- message.content }}
|
| 74 |
+
{{- '\n</tool_response>' }}
|
| 75 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 76 |
+
{{- '<|im_end|>\n' }}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{%- endfor %}
|
| 80 |
+
{%- if add_generation_prompt %}
|
| 81 |
+
{{- '<|im_start|>assistant\n' }}
|
| 82 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 83 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 84 |
+
{%- endif %}
|
| 85 |
+
{%- endif %}
|
config.json
CHANGED
|
@@ -11,6 +11,48 @@
|
|
| 11 |
"hidden_size": 5120,
|
| 12 |
"initializer_range": 0.02,
|
| 13 |
"intermediate_size": 17408,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
"max_position_embeddings": 40960,
|
| 15 |
"max_window_layers": 40,
|
| 16 |
"model_type": "qwen3",
|
|
@@ -20,19 +62,22 @@
|
|
| 20 |
"quantization_config": {
|
| 21 |
"bits": 8,
|
| 22 |
"checkpoint_format": "gptq",
|
| 23 |
-
"desc_act":
|
| 24 |
"group_size": 128,
|
|
|
|
| 25 |
"lm_head": false,
|
| 26 |
"meta": {
|
| 27 |
-
"damp_auto_increment": 0.
|
| 28 |
-
"damp_percent": 0.
|
| 29 |
"mse": 0.0,
|
| 30 |
"quantizer": [
|
| 31 |
-
"gptqmodel:
|
| 32 |
],
|
| 33 |
"static_groups": false,
|
| 34 |
"true_sequential": true,
|
| 35 |
-
"uri": "https://github.com/modelcloud/gptqmodel"
|
|
|
|
|
|
|
| 36 |
},
|
| 37 |
"pack_dtype": "int32",
|
| 38 |
"quant_method": "gptq",
|
|
@@ -44,7 +89,7 @@
|
|
| 44 |
"sliding_window": null,
|
| 45 |
"tie_word_embeddings": false,
|
| 46 |
"torch_dtype": "bfloat16",
|
| 47 |
-
"transformers_version": "4.
|
| 48 |
"use_cache": true,
|
| 49 |
"use_sliding_window": false,
|
| 50 |
"vocab_size": 151936
|
|
|
|
| 11 |
"hidden_size": 5120,
|
| 12 |
"initializer_range": 0.02,
|
| 13 |
"intermediate_size": 17408,
|
| 14 |
+
"layer_types": [
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention"
|
| 55 |
+
],
|
| 56 |
"max_position_embeddings": 40960,
|
| 57 |
"max_window_layers": 40,
|
| 58 |
"model_type": "qwen3",
|
|
|
|
| 62 |
"quantization_config": {
|
| 63 |
"bits": 8,
|
| 64 |
"checkpoint_format": "gptq",
|
| 65 |
+
"desc_act": false,
|
| 66 |
"group_size": 128,
|
| 67 |
+
"hyb_act": false,
|
| 68 |
"lm_head": false,
|
| 69 |
"meta": {
|
| 70 |
+
"damp_auto_increment": 0.01,
|
| 71 |
+
"damp_percent": 0.05,
|
| 72 |
"mse": 0.0,
|
| 73 |
"quantizer": [
|
| 74 |
+
"gptqmodel:4.0.0"
|
| 75 |
],
|
| 76 |
"static_groups": false,
|
| 77 |
"true_sequential": true,
|
| 78 |
+
"uri": "https://github.com/modelcloud/gptqmodel",
|
| 79 |
+
"v2": false,
|
| 80 |
+
"v2_alpha": 0.25
|
| 81 |
},
|
| 82 |
"pack_dtype": "int32",
|
| 83 |
"quant_method": "gptq",
|
|
|
|
| 89 |
"sliding_window": null,
|
| 90 |
"tie_word_embeddings": false,
|
| 91 |
"torch_dtype": "bfloat16",
|
| 92 |
+
"transformers_version": "4.55.4",
|
| 93 |
"use_cache": true,
|
| 94 |
"use_sliding_window": false,
|
| 95 |
"vocab_size": 151936
|
generation_config.json
CHANGED
|
@@ -9,5 +9,5 @@
|
|
| 9 |
"temperature": 0.6,
|
| 10 |
"top_k": 20,
|
| 11 |
"top_p": 0.95,
|
| 12 |
-
"transformers_version": "4.
|
| 13 |
}
|
|
|
|
| 9 |
"temperature": 0.6,
|
| 10 |
"top_k": 20,
|
| 11 |
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "4.55.4"
|
| 13 |
}
|
model-00001-of-00005.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3988118112
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bdc23ab6b58f003066fc85b0ef8fdd10f01d8bc954d677b2c8363471b2b24b17
|
| 3 |
size 3988118112
|
model-00002-of-00005.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3994646384
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:711386c2c2b48fb79bd8b6178255007a0cff64fc92f3c7aef5dbfe223d33d1b5
|
| 3 |
size 3994646384
|
model-00003-of-00005.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3967811360
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5095ba71765947d28d0d2fd5ab7c7a2326656863639bf3969fef314f8fa20d90
|
| 3 |
size 3967811360
|
model-00004-of-00005.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3135659096
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc4e23fdc88c11517b662a7393b3010dd438c359c1fd76524d7c0b1d07968e6a
|
| 3 |
size 3135659096
|
quant_log.csv
ADDED
|
@@ -0,0 +1,281 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
layer,module,loss,samples,damp,time
|
| 2 |
+
0,self_attn.k_proj,0.0000000000,0.05000,1.608
|
| 3 |
+
0,self_attn.v_proj,0.0000000000,0.05000,1.271
|
| 4 |
+
0,self_attn.q_proj,0.0000000001,0.05000,1.268
|
| 5 |
+
0,self_attn.o_proj,0.0000000003,0.05000,1.243
|
| 6 |
+
0,mlp.gate_proj,0.0000000149,0.05000,1.288
|
| 7 |
+
0,mlp.up_proj,0.0000000041,0.05000,1.275
|
| 8 |
+
0,mlp.down_proj,0.0000000021,0.05000,5.248
|
| 9 |
+
1,self_attn.k_proj,0.0000000000,0.05000,1.212
|
| 10 |
+
1,self_attn.v_proj,0.0000000000,0.05000,1.233
|
| 11 |
+
1,self_attn.q_proj,0.0000000002,0.05000,1.236
|
| 12 |
+
1,self_attn.o_proj,0.0000000002,0.05000,1.271
|
| 13 |
+
1,mlp.gate_proj,0.0000002356,0.05000,1.311
|
| 14 |
+
1,mlp.up_proj,0.0000000629,0.05000,1.349
|
| 15 |
+
1,mlp.down_proj,0.0000000041,0.05000,5.250
|
| 16 |
+
2,self_attn.k_proj,0.0000000001,0.05000,1.243
|
| 17 |
+
2,self_attn.v_proj,0.0000000001,0.05000,1.248
|
| 18 |
+
2,self_attn.q_proj,0.0000000004,0.05000,1.293
|
| 19 |
+
2,self_attn.o_proj,0.0000000005,0.05000,1.230
|
| 20 |
+
2,mlp.gate_proj,0.0000003456,0.05000,1.310
|
| 21 |
+
2,mlp.up_proj,0.0000001293,0.05000,1.350
|
| 22 |
+
2,mlp.down_proj,0.0000000034,0.05000,5.178
|
| 23 |
+
3,self_attn.k_proj,0.0000000002,0.05000,1.385
|
| 24 |
+
3,self_attn.v_proj,0.0000000002,0.05000,1.366
|
| 25 |
+
3,self_attn.q_proj,0.0000000007,0.05000,1.383
|
| 26 |
+
3,self_attn.o_proj,0.0000000006,0.05000,1.285
|
| 27 |
+
3,mlp.gate_proj,0.0000004641,0.05000,1.489
|
| 28 |
+
3,mlp.up_proj,0.0000001930,0.05000,1.492
|
| 29 |
+
3,mlp.down_proj,0.0000000064,0.05000,5.132
|
| 30 |
+
4,self_attn.k_proj,0.0000000003,0.05000,1.237
|
| 31 |
+
4,self_attn.v_proj,0.0000000003,0.05000,1.247
|
| 32 |
+
4,self_attn.q_proj,0.0000000012,0.05000,1.250
|
| 33 |
+
4,self_attn.o_proj,0.0000000008,0.05000,1.287
|
| 34 |
+
4,mlp.gate_proj,0.0000006685,0.05000,1.799
|
| 35 |
+
4,mlp.up_proj,0.0000003718,0.05000,1.796
|
| 36 |
+
4,mlp.down_proj,0.0000000080,0.05000,5.095
|
| 37 |
+
5,self_attn.k_proj,0.0000000003,0.05000,1.245
|
| 38 |
+
5,self_attn.v_proj,0.0000000004,0.05000,1.220
|
| 39 |
+
5,self_attn.q_proj,0.0000000014,0.05000,1.239
|
| 40 |
+
5,self_attn.o_proj,0.0000000010,0.05000,1.237
|
| 41 |
+
5,mlp.gate_proj,0.0000007204,0.05000,2.094
|
| 42 |
+
5,mlp.up_proj,0.0000002762,0.05000,2.086
|
| 43 |
+
5,mlp.down_proj,0.0000000159,0.05000,5.226
|
| 44 |
+
6,self_attn.k_proj,0.0000000005,0.05000,1.272
|
| 45 |
+
6,self_attn.v_proj,0.0000000006,0.05000,1.216
|
| 46 |
+
6,self_attn.q_proj,0.0000000023,0.05000,1.229
|
| 47 |
+
6,self_attn.o_proj,0.0000000014,0.05000,1.272
|
| 48 |
+
6,mlp.gate_proj,0.0000010165,0.05000,2.343
|
| 49 |
+
6,mlp.up_proj,0.0000005455,0.05000,2.312
|
| 50 |
+
6,mlp.down_proj,0.0000030633,0.05000,5.788
|
| 51 |
+
7,self_attn.k_proj,0.0000000022,0.05000,1.278
|
| 52 |
+
7,self_attn.v_proj,0.0000000024,0.05000,1.246
|
| 53 |
+
7,self_attn.q_proj,0.0000000095,0.05000,1.363
|
| 54 |
+
7,self_attn.o_proj,0.0000000033,0.05000,1.337
|
| 55 |
+
7,mlp.gate_proj,0.0000009015,0.05000,2.519
|
| 56 |
+
7,mlp.up_proj,0.0000004249,0.05000,2.498
|
| 57 |
+
7,mlp.down_proj,0.0000000286,0.05000,5.549
|
| 58 |
+
8,self_attn.k_proj,0.0000000025,0.05000,1.270
|
| 59 |
+
8,self_attn.v_proj,0.0000000029,0.05000,1.227
|
| 60 |
+
8,self_attn.q_proj,0.0000000109,0.05000,1.263
|
| 61 |
+
8,self_attn.o_proj,0.0000000039,0.05000,1.279
|
| 62 |
+
8,mlp.gate_proj,0.0000002529,0.05000,2.641
|
| 63 |
+
8,mlp.up_proj,0.0000001376,0.05000,2.604
|
| 64 |
+
8,mlp.down_proj,0.0000000270,0.05000,5.703
|
| 65 |
+
9,self_attn.k_proj,0.0000000020,0.05000,1.250
|
| 66 |
+
9,self_attn.v_proj,0.0000000021,0.05000,1.201
|
| 67 |
+
9,self_attn.q_proj,0.0000000083,0.05000,1.245
|
| 68 |
+
9,self_attn.o_proj,0.0000000031,0.05000,1.271
|
| 69 |
+
9,mlp.gate_proj,0.0000001374,0.05000,2.712
|
| 70 |
+
9,mlp.up_proj,0.0000001229,0.05000,2.666
|
| 71 |
+
9,mlp.down_proj,0.0000000360,0.05000,5.699
|
| 72 |
+
10,self_attn.k_proj,0.0000000032,0.05000,1.237
|
| 73 |
+
10,self_attn.v_proj,0.0000000037,0.05000,1.202
|
| 74 |
+
10,self_attn.q_proj,0.0000000146,0.05000,1.222
|
| 75 |
+
10,self_attn.o_proj,0.0000000055,0.05000,1.265
|
| 76 |
+
10,mlp.gate_proj,0.0000001438,0.05000,2.729
|
| 77 |
+
10,mlp.up_proj,0.0000001321,0.05000,2.691
|
| 78 |
+
10,mlp.down_proj,0.0000000309,0.05000,5.662
|
| 79 |
+
11,self_attn.k_proj,0.0000000047,0.05000,1.236
|
| 80 |
+
11,self_attn.v_proj,0.0000000054,0.05000,1.206
|
| 81 |
+
11,self_attn.q_proj,0.0000000213,0.05000,1.242
|
| 82 |
+
11,self_attn.o_proj,0.0000000080,0.05000,1.279
|
| 83 |
+
11,mlp.gate_proj,0.0000001702,0.05000,2.725
|
| 84 |
+
11,mlp.up_proj,0.0000001570,0.05000,2.679
|
| 85 |
+
11,mlp.down_proj,0.0000000382,0.05000,5.663
|
| 86 |
+
12,self_attn.k_proj,0.0000000038,0.05000,1.270
|
| 87 |
+
12,self_attn.v_proj,0.0000000043,0.05000,1.221
|
| 88 |
+
12,self_attn.q_proj,0.0000000168,0.05000,1.246
|
| 89 |
+
12,self_attn.o_proj,0.0000000083,0.05000,1.287
|
| 90 |
+
12,mlp.gate_proj,0.0000001990,0.05000,2.718
|
| 91 |
+
12,mlp.up_proj,0.0000001818,0.05000,2.679
|
| 92 |
+
12,mlp.down_proj,0.0000000475,0.05000,5.667
|
| 93 |
+
13,self_attn.k_proj,0.0000000083,0.05000,1.218
|
| 94 |
+
13,self_attn.v_proj,0.0000000095,0.05000,1.204
|
| 95 |
+
13,self_attn.q_proj,0.0000000373,0.05000,1.239
|
| 96 |
+
13,self_attn.o_proj,0.0000000132,0.05000,1.437
|
| 97 |
+
13,mlp.gate_proj,0.0000002398,0.05000,2.726
|
| 98 |
+
13,mlp.up_proj,0.0000002055,0.05000,2.682
|
| 99 |
+
13,mlp.down_proj,0.0000000539,0.05000,5.732
|
| 100 |
+
14,self_attn.k_proj,0.0000000060,0.05000,1.249
|
| 101 |
+
14,self_attn.v_proj,0.0000000070,0.05000,1.207
|
| 102 |
+
14,self_attn.q_proj,0.0000000262,0.05000,1.231
|
| 103 |
+
14,self_attn.o_proj,0.0000000124,0.05000,1.283
|
| 104 |
+
14,mlp.gate_proj,0.0000002277,0.05000,2.766
|
| 105 |
+
14,mlp.up_proj,0.0000002028,0.05000,2.716
|
| 106 |
+
14,mlp.down_proj,0.0000000555,0.05000,5.775
|
| 107 |
+
15,self_attn.k_proj,0.0000000054,0.05000,1.234
|
| 108 |
+
15,self_attn.v_proj,0.0000000057,0.05000,1.239
|
| 109 |
+
15,self_attn.q_proj,0.0000000232,0.05000,1.236
|
| 110 |
+
15,self_attn.o_proj,0.0000000120,0.05000,1.333
|
| 111 |
+
15,mlp.gate_proj,0.0000002143,0.05000,2.781
|
| 112 |
+
15,mlp.up_proj,0.0000002041,0.05000,2.748
|
| 113 |
+
15,mlp.down_proj,0.0000000569,0.05000,5.749
|
| 114 |
+
16,self_attn.k_proj,0.0000000069,0.05000,1.247
|
| 115 |
+
16,self_attn.v_proj,0.0000000078,0.05000,1.218
|
| 116 |
+
16,self_attn.q_proj,0.0000000293,0.05000,1.238
|
| 117 |
+
16,self_attn.o_proj,0.0000000160,0.05000,1.282
|
| 118 |
+
16,mlp.gate_proj,0.0000001931,0.05000,2.763
|
| 119 |
+
16,mlp.up_proj,0.0000001971,0.05000,2.714
|
| 120 |
+
16,mlp.down_proj,0.0000000595,0.05000,5.776
|
| 121 |
+
17,self_attn.k_proj,0.0000000070,0.05000,1.259
|
| 122 |
+
17,self_attn.v_proj,0.0000000076,0.05000,1.244
|
| 123 |
+
17,self_attn.q_proj,0.0000000310,0.05000,1.272
|
| 124 |
+
17,self_attn.o_proj,0.0000000174,0.05000,1.294
|
| 125 |
+
17,mlp.gate_proj,0.0000002041,0.05000,2.790
|
| 126 |
+
17,mlp.up_proj,0.0000002107,0.05000,2.739
|
| 127 |
+
17,mlp.down_proj,0.0000000591,0.05000,5.725
|
| 128 |
+
18,self_attn.k_proj,0.0000000099,0.05000,1.236
|
| 129 |
+
18,self_attn.v_proj,0.0000000110,0.05000,1.231
|
| 130 |
+
18,self_attn.q_proj,0.0000000449,0.05000,1.244
|
| 131 |
+
18,self_attn.o_proj,0.0000000171,0.05000,1.300
|
| 132 |
+
18,mlp.gate_proj,0.0000002128,0.05000,2.755
|
| 133 |
+
18,mlp.up_proj,0.0000002273,0.05000,2.717
|
| 134 |
+
18,mlp.down_proj,0.0000000713,0.05000,5.824
|
| 135 |
+
19,self_attn.k_proj,0.0000000133,0.05000,1.419
|
| 136 |
+
19,self_attn.v_proj,0.0000000144,0.05000,1.370
|
| 137 |
+
19,self_attn.q_proj,0.0000000573,0.05000,1.400
|
| 138 |
+
19,self_attn.o_proj,0.0000000215,0.05000,3.100
|
| 139 |
+
19,mlp.gate_proj,0.0000002382,0.05000,2.840
|
| 140 |
+
19,mlp.up_proj,0.0000002524,0.05000,2.880
|
| 141 |
+
19,mlp.down_proj,0.0000001835,0.05000,11.147
|
| 142 |
+
20,self_attn.k_proj,0.0000000244,0.05000,2.686
|
| 143 |
+
20,self_attn.v_proj,0.0000000304,0.05000,2.694
|
| 144 |
+
20,self_attn.q_proj,0.0000001156,0.05000,2.743
|
| 145 |
+
20,self_attn.o_proj,0.0000000301,0.05000,2.666
|
| 146 |
+
20,mlp.gate_proj,0.0000002484,0.05000,3.245
|
| 147 |
+
20,mlp.up_proj,0.0000002656,0.05000,3.233
|
| 148 |
+
20,mlp.down_proj,0.0000001017,0.05000,12.341
|
| 149 |
+
21,self_attn.k_proj,0.0000000251,0.05000,2.986
|
| 150 |
+
21,self_attn.v_proj,0.0000000264,0.05000,2.962
|
| 151 |
+
21,self_attn.q_proj,0.0000001019,0.05000,3.059
|
| 152 |
+
21,self_attn.o_proj,0.0000000396,0.05000,2.976
|
| 153 |
+
21,mlp.gate_proj,0.0000002622,0.05000,3.496
|
| 154 |
+
21,mlp.up_proj,0.0000002757,0.05000,3.500
|
| 155 |
+
21,mlp.down_proj,0.0000001119,0.05000,11.943
|
| 156 |
+
22,self_attn.k_proj,0.0000000238,0.05000,2.946
|
| 157 |
+
22,self_attn.v_proj,0.0000000296,0.05000,2.853
|
| 158 |
+
22,self_attn.q_proj,0.0000001088,0.05000,2.927
|
| 159 |
+
22,self_attn.o_proj,0.0000000381,0.05000,2.933
|
| 160 |
+
22,mlp.gate_proj,0.0000002831,0.05000,3.603
|
| 161 |
+
22,mlp.up_proj,0.0000003007,0.05000,3.516
|
| 162 |
+
22,mlp.down_proj,0.0000001143,0.05000,12.494
|
| 163 |
+
23,self_attn.k_proj,0.0000000342,0.05000,2.872
|
| 164 |
+
23,self_attn.v_proj,0.0000000455,0.05000,2.833
|
| 165 |
+
23,self_attn.q_proj,0.0000001655,0.05000,2.872
|
| 166 |
+
23,self_attn.o_proj,0.0000000303,0.05000,3.006
|
| 167 |
+
23,mlp.gate_proj,0.0000002891,0.05000,3.699
|
| 168 |
+
23,mlp.up_proj,0.0000003093,0.05000,3.486
|
| 169 |
+
23,mlp.down_proj,0.0000001386,0.05000,12.495
|
| 170 |
+
24,self_attn.k_proj,0.0000000418,0.05000,2.969
|
| 171 |
+
24,self_attn.v_proj,0.0000000572,0.05000,3.049
|
| 172 |
+
24,self_attn.q_proj,0.0000002142,0.05000,3.041
|
| 173 |
+
24,self_attn.o_proj,0.0000000520,0.05000,3.151
|
| 174 |
+
24,mlp.gate_proj,0.0000003189,0.05000,3.735
|
| 175 |
+
24,mlp.up_proj,0.0000003336,0.05000,3.711
|
| 176 |
+
24,mlp.down_proj,0.0000001439,0.05000,12.620
|
| 177 |
+
25,self_attn.k_proj,0.0000000434,0.05000,1.259
|
| 178 |
+
25,self_attn.v_proj,0.0000000548,0.05000,1.228
|
| 179 |
+
25,self_attn.q_proj,0.0000002045,0.05000,1.253
|
| 180 |
+
25,self_attn.o_proj,0.0000000486,0.05000,1.285
|
| 181 |
+
25,mlp.gate_proj,0.0000003654,0.05000,3.381
|
| 182 |
+
25,mlp.up_proj,0.0000003748,0.05000,3.274
|
| 183 |
+
25,mlp.down_proj,0.0000001957,0.05000,6.119
|
| 184 |
+
26,self_attn.k_proj,0.0000000447,0.05000,1.252
|
| 185 |
+
26,self_attn.v_proj,0.0000000600,0.05000,1.214
|
| 186 |
+
26,self_attn.q_proj,0.0000002259,0.05000,1.230
|
| 187 |
+
26,self_attn.o_proj,0.0000000501,0.05000,1.267
|
| 188 |
+
26,mlp.gate_proj,0.0000004381,0.05000,2.894
|
| 189 |
+
26,mlp.up_proj,0.0000004364,0.05000,2.844
|
| 190 |
+
26,mlp.down_proj,0.0000003177,0.05000,5.673
|
| 191 |
+
27,self_attn.k_proj,0.0000000808,0.05000,1.259
|
| 192 |
+
27,self_attn.v_proj,0.0000001062,0.05000,1.214
|
| 193 |
+
27,self_attn.q_proj,0.0000003821,0.05000,1.235
|
| 194 |
+
27,self_attn.o_proj,0.0000000942,0.05000,1.285
|
| 195 |
+
27,mlp.gate_proj,0.0000005449,0.05000,2.707
|
| 196 |
+
27,mlp.up_proj,0.0000005444,0.05000,2.679
|
| 197 |
+
27,mlp.down_proj,0.0000004879,0.05000,5.670
|
| 198 |
+
28,self_attn.k_proj,0.0000001069,0.05000,1.244
|
| 199 |
+
28,self_attn.v_proj,0.0000001591,0.05000,1.218
|
| 200 |
+
28,self_attn.q_proj,0.0000005816,0.05000,1.240
|
| 201 |
+
28,self_attn.o_proj,0.0000001124,0.05000,1.282
|
| 202 |
+
28,mlp.gate_proj,0.0000006669,0.05000,2.688
|
| 203 |
+
28,mlp.up_proj,0.0000006805,0.05000,2.661
|
| 204 |
+
28,mlp.down_proj,0.0000006141,0.05000,5.578
|
| 205 |
+
29,self_attn.k_proj,0.0000001652,0.05000,1.224
|
| 206 |
+
29,self_attn.v_proj,0.0000002137,0.05000,1.218
|
| 207 |
+
29,self_attn.q_proj,0.0000007917,0.05000,1.223
|
| 208 |
+
29,self_attn.o_proj,0.0000000944,0.05000,1.286
|
| 209 |
+
29,mlp.gate_proj,0.0000007430,0.05000,2.691
|
| 210 |
+
29,mlp.up_proj,0.0000007675,0.05000,2.657
|
| 211 |
+
29,mlp.down_proj,0.0000009056,0.05000,5.653
|
| 212 |
+
30,self_attn.k_proj,0.0000002540,0.05000,1.300
|
| 213 |
+
30,self_attn.v_proj,0.0000003661,0.05000,1.221
|
| 214 |
+
30,self_attn.q_proj,0.0000012225,0.05000,1.254
|
| 215 |
+
30,self_attn.o_proj,0.0000002047,0.05000,1.293
|
| 216 |
+
30,mlp.gate_proj,0.0000009594,0.05000,2.721
|
| 217 |
+
30,mlp.up_proj,0.0000009889,0.05000,2.666
|
| 218 |
+
30,mlp.down_proj,0.0000011860,0.05000,5.710
|
| 219 |
+
31,self_attn.k_proj,0.0000002662,0.05000,1.266
|
| 220 |
+
31,self_attn.v_proj,0.0000003309,0.05000,1.229
|
| 221 |
+
31,self_attn.q_proj,0.0000012580,0.05000,1.253
|
| 222 |
+
31,self_attn.o_proj,0.0000001825,0.05000,1.279
|
| 223 |
+
31,mlp.gate_proj,0.0000010435,0.05000,2.735
|
| 224 |
+
31,mlp.up_proj,0.0000010983,0.05000,2.693
|
| 225 |
+
31,mlp.down_proj,0.0000014923,0.05000,5.708
|
| 226 |
+
32,self_attn.k_proj,0.0000004588,0.05000,1.257
|
| 227 |
+
32,self_attn.v_proj,0.0000006749,0.05000,1.223
|
| 228 |
+
32,self_attn.q_proj,0.0000022000,0.05000,1.256
|
| 229 |
+
32,self_attn.o_proj,0.0000001838,0.05000,1.291
|
| 230 |
+
32,mlp.gate_proj,0.0000011835,0.05000,2.746
|
| 231 |
+
32,mlp.up_proj,0.0000012659,0.05000,2.906
|
| 232 |
+
32,mlp.down_proj,0.0000019001,0.05000,5.747
|
| 233 |
+
33,self_attn.k_proj,0.0000005869,0.05000,1.227
|
| 234 |
+
33,self_attn.v_proj,0.0000008845,0.05000,1.226
|
| 235 |
+
33,self_attn.q_proj,0.0000029721,0.05000,1.245
|
| 236 |
+
33,self_attn.o_proj,0.0000002444,0.05000,1.273
|
| 237 |
+
33,mlp.gate_proj,0.0000012551,0.05000,2.778
|
| 238 |
+
33,mlp.up_proj,0.0000013810,0.05000,2.740
|
| 239 |
+
33,mlp.down_proj,0.0000024191,0.05000,5.714
|
| 240 |
+
34,self_attn.k_proj,0.0000009436,0.05000,1.226
|
| 241 |
+
34,self_attn.v_proj,0.0000014251,0.05000,1.244
|
| 242 |
+
34,self_attn.q_proj,0.0000047080,0.05000,1.284
|
| 243 |
+
34,self_attn.o_proj,0.0000002777,0.05000,1.266
|
| 244 |
+
34,mlp.gate_proj,0.0000014021,0.05000,2.765
|
| 245 |
+
34,mlp.up_proj,0.0000015736,0.05000,2.723
|
| 246 |
+
34,mlp.down_proj,0.0000030276,0.05000,5.794
|
| 247 |
+
35,self_attn.k_proj,0.0000012035,0.05000,1.236
|
| 248 |
+
35,self_attn.v_proj,0.0000019715,0.05000,1.209
|
| 249 |
+
35,self_attn.q_proj,0.0000061430,0.05000,1.227
|
| 250 |
+
35,self_attn.o_proj,0.0000002815,0.05000,1.280
|
| 251 |
+
35,mlp.gate_proj,0.0000015192,0.05000,2.764
|
| 252 |
+
35,mlp.up_proj,0.0000017237,0.05000,2.725
|
| 253 |
+
35,mlp.down_proj,0.0000044798,0.05000,6.006
|
| 254 |
+
36,self_attn.k_proj,0.0000012551,0.05000,1.238
|
| 255 |
+
36,self_attn.v_proj,0.0000019508,0.05000,1.226
|
| 256 |
+
36,self_attn.q_proj,0.0000057919,0.05000,1.238
|
| 257 |
+
36,self_attn.o_proj,0.0000007864,0.05000,1.282
|
| 258 |
+
36,mlp.gate_proj,0.0000016147,0.05000,2.746
|
| 259 |
+
36,mlp.up_proj,0.0000018898,0.05000,2.715
|
| 260 |
+
36,mlp.down_proj,0.0000064629,0.05000,5.655
|
| 261 |
+
37,self_attn.k_proj,0.0000016820,0.05000,1.387
|
| 262 |
+
37,self_attn.v_proj,0.0000029921,0.05000,1.228
|
| 263 |
+
37,self_attn.q_proj,0.0000083882,0.05000,1.269
|
| 264 |
+
37,self_attn.o_proj,0.0000008105,0.05000,1.375
|
| 265 |
+
37,mlp.gate_proj,0.0000017379,0.05000,2.764
|
| 266 |
+
37,mlp.up_proj,0.0000020626,0.05000,2.722
|
| 267 |
+
37,mlp.down_proj,0.0000090136,0.05000,5.689
|
| 268 |
+
38,self_attn.k_proj,0.0000017496,0.05000,1.223
|
| 269 |
+
38,self_attn.v_proj,0.0000032497,0.05000,1.208
|
| 270 |
+
38,self_attn.q_proj,0.0000083224,0.05000,1.225
|
| 271 |
+
38,self_attn.o_proj,0.0000017614,0.05000,1.280
|
| 272 |
+
38,mlp.gate_proj,0.0000022542,0.05000,2.758
|
| 273 |
+
38,mlp.up_proj,0.0000025480,0.05000,2.713
|
| 274 |
+
38,mlp.down_proj,0.0000141993,0.05000,5.750
|
| 275 |
+
39,self_attn.k_proj,0.0000008697,0.05000,1.233
|
| 276 |
+
39,self_attn.v_proj,0.0000013233,0.05000,1.214
|
| 277 |
+
39,self_attn.q_proj,0.0000040708,0.05000,1.232
|
| 278 |
+
39,self_attn.o_proj,0.0000014657,0.05000,1.255
|
| 279 |
+
39,mlp.gate_proj,0.0000032426,0.05000,2.746
|
| 280 |
+
39,mlp.up_proj,0.0000035667,0.05000,2.682
|
| 281 |
+
39,mlp.down_proj,0.0000380214,0.05000,5.708
|
quantize_config.json
CHANGED
|
@@ -1,7 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"bits": 8,
|
| 3 |
"group_size": 128,
|
| 4 |
-
"desc_act":
|
|
|
|
| 5 |
"sym": true,
|
| 6 |
"lm_head": false,
|
| 7 |
"quant_method": "gptq",
|
|
@@ -9,13 +10,15 @@
|
|
| 9 |
"pack_dtype": "int32",
|
| 10 |
"meta": {
|
| 11 |
"quantizer": [
|
| 12 |
-
"gptqmodel:
|
| 13 |
],
|
| 14 |
"uri": "https://github.com/modelcloud/gptqmodel",
|
| 15 |
-
"damp_percent": 0.
|
| 16 |
-
"damp_auto_increment": 0.
|
| 17 |
"static_groups": false,
|
| 18 |
"true_sequential": true,
|
| 19 |
-
"mse": 0.0
|
|
|
|
|
|
|
| 20 |
}
|
| 21 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"bits": 8,
|
| 3 |
"group_size": 128,
|
| 4 |
+
"desc_act": false,
|
| 5 |
+
"hyb_act": false,
|
| 6 |
"sym": true,
|
| 7 |
"lm_head": false,
|
| 8 |
"quant_method": "gptq",
|
|
|
|
| 10 |
"pack_dtype": "int32",
|
| 11 |
"meta": {
|
| 12 |
"quantizer": [
|
| 13 |
+
"gptqmodel:4.0.0"
|
| 14 |
],
|
| 15 |
"uri": "https://github.com/modelcloud/gptqmodel",
|
| 16 |
+
"damp_percent": 0.05,
|
| 17 |
+
"damp_auto_increment": 0.01,
|
| 18 |
"static_groups": false,
|
| 19 |
"true_sequential": true,
|
| 20 |
+
"mse": 0.0,
|
| 21 |
+
"v2": false,
|
| 22 |
+
"v2_alpha": 0.25
|
| 23 |
}
|
| 24 |
}
|
tokenizer_config.json
CHANGED
|
@@ -227,7 +227,6 @@
|
|
| 227 |
"<|video_pad|>"
|
| 228 |
],
|
| 229 |
"bos_token": null,
|
| 230 |
-
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
| 231 |
"clean_up_tokenization_spaces": false,
|
| 232 |
"eos_token": "<|im_end|>",
|
| 233 |
"errors": "replace",
|
|
|
|
| 227 |
"<|video_pad|>"
|
| 228 |
],
|
| 229 |
"bos_token": null,
|
|
|
|
| 230 |
"clean_up_tokenization_spaces": false,
|
| 231 |
"eos_token": "<|im_end|>",
|
| 232 |
"errors": "replace",
|