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Update Supported Model List (#825)

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Zhuohan Li 2023-08-22 11:51:44 -07:00 committed by GitHub
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README.md
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@ -42,6 +42,7 @@ vLLM is flexible and easy to use with:
vLLM seamlessly supports many Huggingface models, including the following architectures:
- Aqualia (`BAAI/Aquila-7B`, `BAAI/AquilaChat-7B`, etc.)
- Baichuan (`baichuan-inc/Baichuan-7B`, `baichuan-inc/Baichuan-13B-Chat`, etc.)
- BLOOM (`bigscience/bloom`, `bigscience/bloomz`, etc.)
- Falcon (`tiiuae/falcon-7b`, `tiiuae/falcon-40b`, `tiiuae/falcon-rw-7b`, etc.)
@ -49,9 +50,11 @@ vLLM seamlessly supports many Huggingface models, including the following archit
- GPT BigCode (`bigcode/starcoder`, `bigcode/gpt_bigcode-santacoder`, etc.)
- GPT-J (`EleutherAI/gpt-j-6b`, `nomic-ai/gpt4all-j`, etc.)
- GPT-NeoX (`EleutherAI/gpt-neox-20b`, `databricks/dolly-v2-12b`, `stabilityai/stablelm-tuned-alpha-7b`, etc.)
- InternLM (`internlm/internlm-7b`, `internlm/internlm-chat-7b`, etc.)
- LLaMA & LLaMA-2 (`meta-llama/Llama-2-70b-hf`, `lmsys/vicuna-13b-v1.3`, `young-geng/koala`, `openlm-research/open_llama_13b`, etc.)
- MPT (`mosaicml/mpt-7b`, `mosaicml/mpt-30b`, etc.)
- OPT (`facebook/opt-66b`, `facebook/opt-iml-max-30b`, etc.)
- Qwen (`Qwen/Qwen-7B`, `Qwen/Qwen-7B-Chat`, 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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@ -14,6 +14,9 @@ Alongside each architecture, we include some popular models that use it.
* - Architecture
- Models
- Example HuggingFace Models
* - :code:`AquilaForCausalLM`
- Aqualia
- :code:`BAAI/Aquila-7B`, :code:`BAAI/AquilaChat-7B`, etc.
* - :code:`BaiChuanForCausalLM`
- Baichuan
- :code:`baichuan-inc/Baichuan-7B`, :code:`baichuan-inc/Baichuan-13B-Chat`, etc.
@ -35,6 +38,9 @@ Alongside each architecture, we include some popular models that use it.
* - :code:`GPTNeoXForCausalLM`
- GPT-NeoX, Pythia, OpenAssistant, Dolly V2, StableLM
- :code:`EleutherAI/gpt-neox-20b`, :code:`EleutherAI/pythia-12b`, :code:`OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5`, :code:`databricks/dolly-v2-12b`, :code:`stabilityai/stablelm-tuned-alpha-7b`, etc.
* - :code:`InternLMForCausalLM`
- InternLM
- :code:`internlm/internlm-7b`, :code:`internlm/internlm-chat-7b`, etc.
* - :code:`LlamaForCausalLM`
- LLaMA, LLaMA-2, Vicuna, Alpaca, Koala, Guanaco
- :code:`meta-llama/Llama-2-13b-hf`, :code:`openlm-research/open_llama_13b`, :code:`lmsys/vicuna-13b-v1.3`, :code:`young-geng/koala`, :code:`JosephusCheung/Guanaco`, etc.
@ -44,6 +50,9 @@ 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:`OPTForCausalLM`
- Qwen
- :code:`Qwen/Qwen-7B`, :code:`Qwen/Qwen-7B-Chat`, 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.