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feat(model): support Baichuan2 model
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@ -86,6 +86,7 @@ Currently, we have released multiple key features, which are listed below to dem
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- Unified vector storage/indexing of knowledge base
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- Support for unstructured data such as PDF, TXT, Markdown, CSV, DOC, PPT, and WebURL
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- Multi LLMs Support, Supports multiple large language models, currently supporting
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- 🔥 Baichuan2(7b,13b)
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- 🔥 Vicuna-v1.5(7b,13b)
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- 🔥 llama-2(7b,13b,70b)
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- WizardLM-v1.2(13b)
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@ -116,6 +116,7 @@ DB-GPT 是一个开源的以数据库为基础的GPT实验项目,使用本地
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- 非结构化数据支持包括PDF、MarkDown、CSV、WebURL
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- 多模型支持
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- 支持多种大语言模型, 当前已支持如下模型:
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- 🔥 Baichuan2(7b,13b)
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- 🔥 Vicuna-v1.5(7b,13b)
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- 🔥 llama-2(7b,13b,70b)
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- WizardLM-v1.2(13b)
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@ -77,6 +77,8 @@ LLM_MODEL_CONFIG = {
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"baichuan-13b": os.path.join(MODEL_PATH, "Baichuan-13B-Chat"),
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# please rename "fireballoon/baichuan-vicuna-chinese-7b" to "baichuan-7b"
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"baichuan-7b": os.path.join(MODEL_PATH, "baichuan-7b"),
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"baichuan2-7b": os.path.join(MODEL_PATH, "Baichuan2-7B-Chat"),
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"baichuan2-13b": os.path.join(MODEL_PATH, "Baichuan2-13B-Chat"),
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# (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
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"wizardlm-13b": os.path.join(MODEL_PATH, "WizardLM-13B-V1.2"),
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"llama-cpp": os.path.join(MODEL_PATH, "ggml-model-q4_0.bin"),
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