add qwen2 math models
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README.md
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README.md
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@ -153,33 +153,33 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
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## Supported Models
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| Model | Model size | Template |
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| ------------------------------------------------------------ | -------------------------------- | --------- |
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| [Baichuan 2](https://huggingface.co/baichuan-inc) | 7B/13B | baichuan2 |
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| [BLOOM/BLOOMZ](https://huggingface.co/bigscience) | 560M/1.1B/1.7B/3B/7.1B/176B | - |
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| [ChatGLM3](https://huggingface.co/THUDM) | 6B | chatglm3 |
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| [Command R](https://huggingface.co/CohereForAI) | 35B/104B | cohere |
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| [DeepSeek (Code/MoE)](https://huggingface.co/deepseek-ai) | 7B/16B/67B/236B | deepseek |
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| [Falcon](https://huggingface.co/tiiuae) | 7B/11B/40B/180B | falcon |
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| [Gemma/Gemma 2/CodeGemma](https://huggingface.co/google) | 2B/7B/9B/27B | gemma |
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| [GLM-4](https://huggingface.co/THUDM) | 9B | glm4 |
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| [InternLM2/InternLM2.5](https://huggingface.co/internlm) | 7B/20B | intern2 |
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| [Llama](https://github.com/facebookresearch/llama) | 7B/13B/33B/65B | - |
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| [Llama 2](https://huggingface.co/meta-llama) | 7B/13B/70B | llama2 |
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| [Llama 3/Llama 3.1](https://huggingface.co/meta-llama) | 8B/70B | llama3 |
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| [LLaVA-1.5](https://huggingface.co/llava-hf) | 7B/13B | vicuna |
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| [MiniCPM](https://huggingface.co/openbmb) | 1B/2B | cpm |
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| [Mistral/Mixtral](https://huggingface.co/mistralai) | 7B/8x7B/8x22B | mistral |
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| [OLMo](https://huggingface.co/allenai) | 1B/7B | - |
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| [PaliGemma](https://huggingface.co/google) | 3B | gemma |
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| [Phi-1.5/Phi-2](https://huggingface.co/microsoft) | 1.3B/2.7B | - |
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| [Phi-3](https://huggingface.co/microsoft) | 4B/7B/14B | phi |
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| [Qwen/Qwen1.5/Qwen2 (Code/MoE)](https://huggingface.co/Qwen) | 0.5B/1.5B/4B/7B/14B/32B/72B/110B | qwen |
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| [StarCoder 2](https://huggingface.co/bigcode) | 3B/7B/15B | - |
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| [XVERSE](https://huggingface.co/xverse) | 7B/13B/65B | xverse |
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| [Yi/Yi-1.5](https://huggingface.co/01-ai) | 6B/9B/34B | yi |
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| [Yi-VL](https://huggingface.co/01-ai) | 6B/34B | yi_vl |
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| [Yuan 2](https://huggingface.co/IEITYuan) | 2B/51B/102B | yuan |
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| Model | Model size | Template |
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| ----------------------------------------------------------------- | -------------------------------- | --------- |
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| [Baichuan 2](https://huggingface.co/baichuan-inc) | 7B/13B | baichuan2 |
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| [BLOOM/BLOOMZ](https://huggingface.co/bigscience) | 560M/1.1B/1.7B/3B/7.1B/176B | - |
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| [ChatGLM3](https://huggingface.co/THUDM) | 6B | chatglm3 |
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| [Command R](https://huggingface.co/CohereForAI) | 35B/104B | cohere |
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| [DeepSeek (Code/MoE)](https://huggingface.co/deepseek-ai) | 7B/16B/67B/236B | deepseek |
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| [Falcon](https://huggingface.co/tiiuae) | 7B/11B/40B/180B | falcon |
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| [Gemma/Gemma 2/CodeGemma](https://huggingface.co/google) | 2B/7B/9B/27B | gemma |
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| [GLM-4](https://huggingface.co/THUDM) | 9B | glm4 |
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| [InternLM2/InternLM2.5](https://huggingface.co/internlm) | 7B/20B | intern2 |
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| [Llama](https://github.com/facebookresearch/llama) | 7B/13B/33B/65B | - |
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| [Llama 2](https://huggingface.co/meta-llama) | 7B/13B/70B | llama2 |
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| [Llama 3/Llama 3.1](https://huggingface.co/meta-llama) | 8B/70B | llama3 |
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| [LLaVA-1.5](https://huggingface.co/llava-hf) | 7B/13B | vicuna |
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| [MiniCPM](https://huggingface.co/openbmb) | 1B/2B | cpm |
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| [Mistral/Mixtral](https://huggingface.co/mistralai) | 7B/8x7B/8x22B | mistral |
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| [OLMo](https://huggingface.co/allenai) | 1B/7B | - |
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| [PaliGemma](https://huggingface.co/google) | 3B | gemma |
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| [Phi-1.5/Phi-2](https://huggingface.co/microsoft) | 1.3B/2.7B | - |
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| [Phi-3](https://huggingface.co/microsoft) | 4B/7B/14B | phi |
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| [Qwen/Qwen1.5/Qwen2 (Code/Math/MoE)](https://huggingface.co/Qwen) | 0.5B/1.5B/4B/7B/14B/32B/72B/110B | qwen |
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| [StarCoder 2](https://huggingface.co/bigcode) | 3B/7B/15B | - |
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| [XVERSE](https://huggingface.co/xverse) | 7B/13B/65B | xverse |
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| [Yi/Yi-1.5](https://huggingface.co/01-ai) | 6B/9B/34B | yi |
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| [Yi-VL](https://huggingface.co/01-ai) | 6B/34B | yi_vl |
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| [Yuan 2](https://huggingface.co/IEITYuan) | 2B/51B/102B | yuan |
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> [!NOTE]
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> For the "base" models, the `template` argument can be chosen from `default`, `alpaca`, `vicuna` etc. But make sure to use the **corresponding template** for the "instruct/chat" models.
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README_zh.md
54
README_zh.md
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@ -153,33 +153,33 @@ https://github.com/user-attachments/assets/e6ce34b0-52d5-4f3e-a830-592106c4c272
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## 模型
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| 模型名 | 模型大小 | Template |
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| ------------------------------------------------------------ | -------------------------------- | --------- |
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| [Baichuan 2](https://huggingface.co/baichuan-inc) | 7B/13B | baichuan2 |
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| [BLOOM/BLOOMZ](https://huggingface.co/bigscience) | 560M/1.1B/1.7B/3B/7.1B/176B | - |
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| [ChatGLM3](https://huggingface.co/THUDM) | 6B | chatglm3 |
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| [Command R](https://huggingface.co/CohereForAI) | 35B/104B | cohere |
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| [DeepSeek (Code/MoE)](https://huggingface.co/deepseek-ai) | 7B/16B/67B/236B | deepseek |
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| [Falcon](https://huggingface.co/tiiuae) | 7B/11B/40B/180B | falcon |
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| [Gemma/Gemma 2/CodeGemma](https://huggingface.co/google) | 2B/7B/9B/27B | gemma |
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| [GLM-4](https://huggingface.co/THUDM) | 9B | glm4 |
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| [InternLM2/InternLM2.5](https://huggingface.co/internlm) | 7B/20B | intern2 |
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| [Llama](https://github.com/facebookresearch/llama) | 7B/13B/33B/65B | - |
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| [Llama 2](https://huggingface.co/meta-llama) | 7B/13B/70B | llama2 |
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| [Llama 3/Llama 3.1](https://huggingface.co/meta-llama) | 8B/70B | llama3 |
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| [LLaVA-1.5](https://huggingface.co/llava-hf) | 7B/13B | vicuna |
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| [MiniCPM](https://huggingface.co/openbmb) | 1B/2B | cpm |
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| [Mistral/Mixtral](https://huggingface.co/mistralai) | 7B/8x7B/8x22B | mistral |
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| [OLMo](https://huggingface.co/allenai) | 1B/7B | - |
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| [PaliGemma](https://huggingface.co/google) | 3B | gemma |
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| [Phi-1.5/Phi-2](https://huggingface.co/microsoft) | 1.3B/2.7B | - |
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| [Phi-3](https://huggingface.co/microsoft) | 4B/7B/14B | phi |
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| [Qwen/Qwen1.5/Qwen2 (Code/MoE)](https://huggingface.co/Qwen) | 0.5B/1.5B/4B/7B/14B/32B/72B/110B | qwen |
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| [StarCoder 2](https://huggingface.co/bigcode) | 3B/7B/15B | - |
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| [XVERSE](https://huggingface.co/xverse) | 7B/13B/65B | xverse |
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| [Yi/Yi-1.5](https://huggingface.co/01-ai) | 6B/9B/34B | yi |
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| [Yi-VL](https://huggingface.co/01-ai) | 6B/34B | yi_vl |
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| [Yuan 2](https://huggingface.co/IEITYuan) | 2B/51B/102B | yuan |
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| 模型名 | 模型大小 | Template |
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| ----------------------------------------------------------------- | -------------------------------- | --------- |
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| [Baichuan 2](https://huggingface.co/baichuan-inc) | 7B/13B | baichuan2 |
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| [BLOOM/BLOOMZ](https://huggingface.co/bigscience) | 560M/1.1B/1.7B/3B/7.1B/176B | - |
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| [ChatGLM3](https://huggingface.co/THUDM) | 6B | chatglm3 |
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| [Command R](https://huggingface.co/CohereForAI) | 35B/104B | cohere |
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| [DeepSeek (Code/MoE)](https://huggingface.co/deepseek-ai) | 7B/16B/67B/236B | deepseek |
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| [Falcon](https://huggingface.co/tiiuae) | 7B/11B/40B/180B | falcon |
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| [Gemma/Gemma 2/CodeGemma](https://huggingface.co/google) | 2B/7B/9B/27B | gemma |
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| [GLM-4](https://huggingface.co/THUDM) | 9B | glm4 |
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| [InternLM2/InternLM2.5](https://huggingface.co/internlm) | 7B/20B | intern2 |
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| [Llama](https://github.com/facebookresearch/llama) | 7B/13B/33B/65B | - |
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| [Llama 2](https://huggingface.co/meta-llama) | 7B/13B/70B | llama2 |
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| [Llama 3/Llama 3.1](https://huggingface.co/meta-llama) | 8B/70B | llama3 |
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| [LLaVA-1.5](https://huggingface.co/llava-hf) | 7B/13B | vicuna |
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| [MiniCPM](https://huggingface.co/openbmb) | 1B/2B | cpm |
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| [Mistral/Mixtral](https://huggingface.co/mistralai) | 7B/8x7B/8x22B | mistral |
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| [OLMo](https://huggingface.co/allenai) | 1B/7B | - |
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| [PaliGemma](https://huggingface.co/google) | 3B | gemma |
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| [Phi-1.5/Phi-2](https://huggingface.co/microsoft) | 1.3B/2.7B | - |
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| [Phi-3](https://huggingface.co/microsoft) | 4B/7B/14B | phi |
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| [Qwen/Qwen1.5/Qwen2 (Code/Math/MoE)](https://huggingface.co/Qwen) | 0.5B/1.5B/4B/7B/14B/32B/72B/110B | qwen |
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| [StarCoder 2](https://huggingface.co/bigcode) | 3B/7B/15B | - |
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| [XVERSE](https://huggingface.co/xverse) | 7B/13B/65B | xverse |
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| [Yi/Yi-1.5](https://huggingface.co/01-ai) | 6B/9B/34B | yi |
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| [Yi-VL](https://huggingface.co/01-ai) | 6B/34B | yi_vl |
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| [Yuan 2](https://huggingface.co/IEITYuan) | 2B/51B/102B | yuan |
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> [!NOTE]
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> 对于所有“基座”(Base)模型,`template` 参数可以是 `default`, `alpaca`, `vicuna` 等任意值。但“对话”(Instruct/Chat)模型请务必使用**对应的模板**。
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DownloadSource.DEFAULT: "Qwen/Qwen2-57B-A14B",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-57B-A14B",
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},
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"Qwen2-Math-1.5B": {
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DownloadSource.DEFAULT: "Qwen/Qwen2-Math-1.5B",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-Math-1.5B",
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},
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"Qwen2-Math-7B": {
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DownloadSource.DEFAULT: "Qwen/Qwen2-Math-7B",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-Math-7B",
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},
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"Qwen2-Math-72B": {
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DownloadSource.DEFAULT: "Qwen/Qwen2-Math-72B",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-Math-72B",
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},
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"Qwen2-0.5B-Chat": {
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DownloadSource.DEFAULT: "Qwen/Qwen2-0.5B-Instruct",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-0.5B-Instruct",
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DownloadSource.DEFAULT: "Qwen/Qwen2-57B-A14B-Instruct",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-57B-A14B-Instruct",
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},
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"Qwen2-Math-1.5B-Chat": {
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DownloadSource.DEFAULT: "Qwen/Qwen2-Math-1.5B-Instruct",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-Math-1.5B-Instruct",
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},
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"Qwen2-Math-7B-Chat": {
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DownloadSource.DEFAULT: "Qwen/Qwen2-Math-7B-Instruct",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-Math-7B-Instruct",
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},
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"Qwen2-Math-72B-Chat": {
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DownloadSource.DEFAULT: "Qwen/Qwen2-Math-72B-Instruct",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-Math-72B-Instruct",
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},
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"Qwen2-0.5B-int8-Chat": {
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DownloadSource.DEFAULT: "Qwen/Qwen2-0.5B-Instruct-GPTQ-Int8",
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DownloadSource.MODELSCOPE: "qwen/Qwen2-0.5B-Instruct-GPTQ-Int8",
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