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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: 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.) - Baichuan (`baichuan-inc/Baichuan-7B`, `baichuan-inc/Baichuan-13B-Chat`, etc.)
- BLOOM (`bigscience/bloom`, `bigscience/bloomz`, etc.) - BLOOM (`bigscience/bloom`, `bigscience/bloomz`, etc.)
- Falcon (`tiiuae/falcon-7b`, `tiiuae/falcon-40b`, `tiiuae/falcon-rw-7b`, 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 BigCode (`bigcode/starcoder`, `bigcode/gpt_bigcode-santacoder`, etc.)
- GPT-J (`EleutherAI/gpt-j-6b`, `nomic-ai/gpt4all-j`, 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.) - 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.) - 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.) - MPT (`mosaicml/mpt-7b`, `mosaicml/mpt-30b`, etc.)
- OPT (`facebook/opt-66b`, `facebook/opt-iml-max-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): Install vLLM with pip or [from source](https://vllm.readthedocs.io/en/latest/getting_started/installation.html#build-from-source):

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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 * - Architecture
- Models - Models
- Example HuggingFace Models - Example HuggingFace Models
* - :code:`AquilaForCausalLM`
- Aqualia
- :code:`BAAI/Aquila-7B`, :code:`BAAI/AquilaChat-7B`, etc.
* - :code:`BaiChuanForCausalLM` * - :code:`BaiChuanForCausalLM`
- Baichuan - Baichuan
- :code:`baichuan-inc/Baichuan-7B`, :code:`baichuan-inc/Baichuan-13B-Chat`, etc. - :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` * - :code:`GPTNeoXForCausalLM`
- GPT-NeoX, Pythia, OpenAssistant, Dolly V2, StableLM - 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:`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` * - :code:`LlamaForCausalLM`
- LLaMA, LLaMA-2, Vicuna, Alpaca, Koala, Guanaco - 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. - :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` * - :code:`OPTForCausalLM`
- OPT, OPT-IML - OPT, OPT-IML
- :code:`facebook/opt-66b`, :code:`facebook/opt-iml-max-30b`, etc. - :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. 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. Otherwise, please refer to :ref:`Adding a New Model <adding_a_new_model>` for instructions on how to implement support for your model.