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[Fix] Update Supported Models List (#1690)

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Zhuohan Li 2023-11-16 14:47:26 -08:00 committed by GitHub
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2
README.md
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@ -49,6 +49,7 @@ vLLM seamlessly supports many Hugging Face models, including the following archi
- Aquila & Aquila2 (`BAAI/AquilaChat2-7B`, `BAAI/AquilaChat2-34B`, `BAAI/Aquila-7B`, `BAAI/AquilaChat-7B`, etc.)
- Baichuan (`baichuan-inc/Baichuan-7B`, `baichuan-inc/Baichuan-13B-Chat`, etc.)
- BLOOM (`bigscience/bloom`, `bigscience/bloomz`, etc.)
- ChatGLM (`THUDM/chatglm2-6b`, `THUDM/chatglm3-6b`, etc.)
- Falcon (`tiiuae/falcon-7b`, `tiiuae/falcon-40b`, `tiiuae/falcon-rw-7b`, etc.)
- GPT-2 (`gpt2`, `gpt2-xl`, etc.)
- GPT BigCode (`bigcode/starcoder`, `bigcode/gpt_bigcode-santacoder`, etc.)
@ -61,6 +62,7 @@ vLLM seamlessly supports many Hugging Face models, including the following archi
- OPT (`facebook/opt-66b`, `facebook/opt-iml-max-30b`, etc.)
- Phi-1.5 (`microsoft/phi-1_5`, etc.)
- Qwen (`Qwen/Qwen-7B`, `Qwen/Qwen-7B-Chat`, etc.)
- Yi (`01-ai/Yi-6B`, `01-ai/Yi-34B`, etc.)
Install vLLM with pip or [from source](https://vllm.readthedocs.io/en/latest/getting_started/installation.html#build-from-source):

9
docs/source/models/supported_models.rst
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@ -20,6 +20,9 @@ Alongside each architecture, we include some popular models that use it.
* - :code:`BaiChuanForCausalLM`
- Baichuan
- :code:`baichuan-inc/Baichuan-7B`, :code:`baichuan-inc/Baichuan-13B-Chat`, etc.
* - :code:`ChatGLMModel`
- ChatGLM
- :code:`THUDM/chatglm2-6b`, :code:`THUDM/chatglm3-6b`, etc.
* - :code:`BloomForCausalLM`
- BLOOM, BLOOMZ, BLOOMChat
- :code:`bigscience/bloom`, :code:`bigscience/bloomz`, etc.
@ -53,9 +56,15 @@ Alongside each architecture, we include some popular models that use it.
* - :code:`OPTForCausalLM`
- OPT, OPT-IML
- :code:`facebook/opt-66b`, :code:`facebook/opt-iml-max-30b`, etc.
* - :code:`PhiForCausalLM`
- Phi-1.5
- :code:`microsoft/phi-1_5`, etc.
* - :code:`QWenLMHeadModel`
- Qwen
- :code:`Qwen/Qwen-7B`, :code:`Qwen/Qwen-7B-Chat`, etc.
* - :code:`YiForCausalLM`
- Yi
- :code:`01-ai/Yi-6B`, :code:`01-ai/Yi-34B`, etc.
If your model uses one of the above model architectures, you can seamlessly run your model with vLLM.
Otherwise, please refer to :ref:`Adding a New Model <adding_a_new_model>` for instructions on how to implement support for your model.