Automatic Speech Recognition
Transformers
Safetensors
VibeVoice
ASR
Transcription
Speech-to-Text
Streaming
Instructions to use vibevoice/VibeVoice-ASR-Streaming-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vibevoice/VibeVoice-ASR-Streaming-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vibevoice/VibeVoice-ASR-Streaming-7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, VibeVoiceForASRStreamingTraining processor = AutoProcessor.from_pretrained("vibevoice/VibeVoice-ASR-Streaming-7B") model = VibeVoiceForASRStreamingTraining.from_pretrained("vibevoice/VibeVoice-ASR-Streaming-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
58e32ff
0
Parent(s):
Duplicate from microsoft/VibeVoice-ASR-Streaming-7B
Browse filesCo-authored-by: Furu Wei <frontierai@users.noreply.huggingface.co>
- .gitattributes +37 -0
- README.md +64 -0
- added_tokens.json +28 -0
- config.json +154 -0
- figures/VibeVoice_ASR_Streaming_architecture.png +3 -0
- figures/VibeVoice_ASR_Streaming_results.png +3 -0
- merges.txt +0 -0
- model-00001-of-00008.safetensors +3 -0
- model-00002-of-00008.safetensors +3 -0
- model-00003-of-00008.safetensors +3 -0
- model-00004-of-00008.safetensors +3 -0
- model-00005-of-00008.safetensors +3 -0
- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00008-of-00008.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +8 -0
- special_tokens_map.json +56 -0
- tokenizer.json +0 -0
- tokenizer_config.json +242 -0
- vocab.json +0 -0
.gitattributes
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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figures/VibeVoice_ASR_Streaming_architecture.png filter=lfs diff=lfs merge=lfs -text
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figures/VibeVoice_ASR_Streaming_results.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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- zh
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- es
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- pt
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- de
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- ja
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- ko
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- fr
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- ru
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- it
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license: mit
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pipeline_tag: automatic-speech-recognition
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tags:
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- ASR
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- Transcription
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- Speech-to-Text
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- Streaming
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library_name: transformers
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---
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## VibeVoice-ASR-Streaming-7B
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[](https://github.com/microsoft/VibeVoice)
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[](https://aka.ms/vibeasr)
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**VibeVoice-ASR-Streaming** is a unified streaming ASR model that transcribes **Who (Speaker)** said **What (Content)**, with support for **Customized Hotwords** and **10 languages**.
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➡️ **Code:** [microsoft/VibeVoice](https://github.com/microsoft/VibeVoice)<br>
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➡️ **Demo:** [VibeVoice-ASR-Streaming](https://aka.ms/vibeasr)<br>
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<p align="left">
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<img src="figures/VibeVoice_ASR_Streaming_architecture.png" alt="VibeVoice-ASR-Streaming Architecture" height="250px">
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</p>
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## 🔥 Key Features
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- **📝 Streaming Speaker-Attributed Transcription**:
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Continuously transcribes **who** said **what** as speech arrives.
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- **👤 Customized Hotwords**:
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Users can provide customized hotwords, such as names and technical terms, to improve recognition of domain-specific content.
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- **🌍 Multilingual Support**:
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It supports Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, and Spanish.
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## Evaluation
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<p align="center">
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<img src="figures/VibeVoice_ASR_Streaming_results.png" alt="VibeVoice-ASR-Streaming Results" width="80%">
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</p>
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## Installation and Usage
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Please refer to the [GitHub repository](https://github.com/microsoft/VibeVoice).
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## License
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This project is licensed under the MIT License.
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## Contact
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This project was conducted by members of Microsoft Research. We welcome feedback and collaboration from our audience. If you have suggestions, questions, or observe unexpected/offensive behavior in our technology, please contact us at VibeVoice@microsoft.com.
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If the team receives reports of undesired behavior or identifies issues independently, we will update this repository with appropriate mitigations.
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_start|>": 151644,
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"<|im_end|>": 151645,
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"<|object_ref_start|>": 151646,
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"<|object_ref_end|>": 151647,
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"<|box_start|>": 151648,
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"<|box_end|>": 151649,
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"<|quad_start|>": 151650,
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"<|quad_end|>": 151651,
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"<|vision_start|>": 151652,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|image_pad|>": 151655,
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"<|video_pad|>": 151656,
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"<tool_call>": 151657,
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"</tool_call>": 151658,
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"<|fim_prefix|>": 151659,
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"<|fim_middle|>": 151660,
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"<|fim_suffix|>": 151661,
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"<|fim_pad|>": 151662,
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"<|repo_name|>": 151663,
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"<|file_sep|>": 151664,
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"<|text_chunk_end|>": 151665,
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"<|AUDIO|>": 151666,
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"<|audio_bos|>": 151667,
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"<|audio_eos|>": 151668
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}
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config.json
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{
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"acoustic_tokenizer_config": {
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"causal": true,
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"channels": 1,
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"conv_bias": true,
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"conv_norm": "none",
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"corpus_normalize": 0.0,
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"decoder_depths": null,
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"decoder_n_filters": 32,
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"decoder_ratios": [
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8,
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2,
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],
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"disable_last_norm": true,
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"dtype": "bfloat16",
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"encoder_depths": "3-3-3-3-3-3-8",
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"encoder_n_filters": 32,
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"encoder_ratios": [
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8,
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5,
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4,
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2
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],
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"fix_std": 0.5,
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"layer_scale_init_value": 1e-06,
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"layernorm": "RMSNorm",
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"layernorm_elementwise_affine": true,
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"layernorm_eps": 1e-05,
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"mixer_layer": "depthwise_conv",
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"model_type": "vibevoice_acoustic_tokenizer",
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"pad_mode": "constant",
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"std_dist_type": "gaussian",
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"torch_dtype": "bfloat16",
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"vae_dim": 64,
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"weight_init_value": 0.01
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},
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"acoustic_vae_dim": 64,
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"architectures": [
|
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"VibeVoiceForASRStreamingTraining"
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],
|
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"decoder_config": {
|
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
|
| 82 |
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"full_attention"
|
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],
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| 84 |
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"max_position_embeddings": 131072,
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| 85 |
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"max_window_layers": 28,
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| 86 |
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| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<|text_chunk_end|>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": true
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "<|AUDIO|>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": true
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<|audio_bos|>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": true
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "<|audio_eos|>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": true
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>",
|
| 228 |
+
"<|AUDIO|>",
|
| 229 |
+
"<|audio_bos|>",
|
| 230 |
+
"<|audio_eos|>"
|
| 231 |
+
],
|
| 232 |
+
"bos_token": null,
|
| 233 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {%- if messages[0]['content'] is string %}\n {{- messages[0]['content'] }}\n {%- else %}\n {%- for part in messages[0]['content'] %}\n {%- if part['type'] == 'text' %}\n {{- part['text'] }}\n {%- elif part['type'] == 'audio' or part['type'] == 'audio_url' %}\n {{- '<|AUDIO|>' }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\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' }}\n {%- if messages[0]['content'] is string %}\n {{- messages[0]['content'] }}\n {%- else %}\n {%- for part in messages[0]['content'] %}\n {%- if part['type'] == 'text' %}\n {{- part['text'] }}\n {%- elif part['type'] == 'audio' or part['type'] == 'audio_url' %}\n {{- '<|AUDIO|>' }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message['content'] is string %}\n {{- message['content'] }}\n {%- else %}\n {%- for part in message['content'] %}\n {%- if part['type'] == 'text' %}\n {{- part['text'] }}\n {%- elif part['type'] == 'audio' or part['type'] == 'audio_url' %}\n {{- '<|AUDIO|>' }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) 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{%- endif %}",
|
| 234 |
+
"clean_up_tokenization_spaces": false,
|
| 235 |
+
"eos_token": "<|endoftext|>",
|
| 236 |
+
"errors": "replace",
|
| 237 |
+
"model_max_length": 131072,
|
| 238 |
+
"pad_token": "<|endoftext|>",
|
| 239 |
+
"split_special_tokens": false,
|
| 240 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 241 |
+
"unk_token": null
|
| 242 |
+
}
|
vocab.json
ADDED
|
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See raw diff
|
|
|