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feat(model): Support CodeQwen1.5-7B-Chat (#1431)

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1
README.md
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@ -158,6 +158,7 @@ At present, we have introduced several key features to showcase our current capa
We offer extensive model support, including dozens of large language models (LLMs) from both open-source and API agents, such as LLaMA/LLaMA2, Baichuan, ChatGLM, Wenxin, Tongyi, Zhipu, and many more. We offer extensive model support, including dozens of large language models (LLMs) from both open-source and API agents, such as LLaMA/LLaMA2, Baichuan, ChatGLM, Wenxin, Tongyi, Zhipu, and many more.
- News - News
- 🔥🔥🔥 [CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat)
- 🔥🔥🔥 [Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) - 🔥🔥🔥 [Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat)
- 🔥🔥🔥 [Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta) - 🔥🔥🔥 [Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
- 🔥🔥🔥 [gemma-7b-it](https://huggingface.co/google/gemma-7b-it) - 🔥🔥🔥 [gemma-7b-it](https://huggingface.co/google/gemma-7b-it)

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README.zh.md
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@ -152,6 +152,7 @@
海量模型支持，包括开源、API代理等几十种大语言模型。如LLaMA/LLaMA2、Baichuan、ChatGLM、文心、通义、智谱等。当前已支持如下模型: 海量模型支持，包括开源、API代理等几十种大语言模型。如LLaMA/LLaMA2、Baichuan、ChatGLM、文心、通义、智谱等。当前已支持如下模型:
- 新增支持模型 - 新增支持模型
- 🔥🔥🔥 [CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat)
- 🔥🔥🔥 [Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) - 🔥🔥🔥 [Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat)
- 🔥🔥🔥 [Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta) - 🔥🔥🔥 [Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
- 🔥🔥🔥 [gemma-7b-it](https://huggingface.co/google/gemma-7b-it) - 🔥🔥🔥 [gemma-7b-it](https://huggingface.co/google/gemma-7b-it)

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dbgpt/configs/model_config.py
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@ -108,6 +108,8 @@ LLM_MODEL_CONFIG = {
# https://huggingface.co/Qwen/Qwen1.5-32B-Chat # https://huggingface.co/Qwen/Qwen1.5-32B-Chat
"qwen1.5-32b-chat": os.path.join(MODEL_PATH, "Qwen1.5-32B-Chat"), "qwen1.5-32b-chat": os.path.join(MODEL_PATH, "Qwen1.5-32B-Chat"),
"qwen1.5-72b-chat": os.path.join(MODEL_PATH, "Qwen1.5-72B-Chat"), "qwen1.5-72b-chat": os.path.join(MODEL_PATH, "Qwen1.5-72B-Chat"),
# https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat
"codeqwen1.5-7b-chat": os.path.join(MODEL_PATH, "CodeQwen1.5-7B-Chat"),
# (Llama2 based) We only support WizardLM-13B-V1.2 for now, which is trained from Llama-2 13b, see https://huggingface.co/WizardLM/WizardLM-13B-V1.2 # (Llama2 based) We only support WizardLM-13B-V1.2 for now, which is trained from Llama-2 13b, see https://huggingface.co/WizardLM/WizardLM-13B-V1.2
"wizardlm-13b": os.path.join(MODEL_PATH, "WizardLM-13B-V1.2"), "wizardlm-13b": os.path.join(MODEL_PATH, "WizardLM-13B-V1.2"),
# wget https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF/resolve/main/vicuna-13b-v1.5.Q4_K_M.gguf -O models/ggml-model-q4_0.gguf # wget https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF/resolve/main/vicuna-13b-v1.5.Q4_K_M.gguf -O models/ggml-model-q4_0.gguf