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Remove e.g. in README (#167)

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Zhuohan Li 2023-06-20 14:00:28 +08:00 committed by GitHub
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@ -41,10 +41,10 @@ vLLM is flexible and easy to use with:
vLLM seamlessly supports many Huggingface models, including the following architectures:
- GPT-2 (e.g., `gpt2`, `gpt2-xl`, etc.)
- GPTNeoX (e.g., `EleutherAI/gpt-neox-20b`, `databricks/dolly-v2-12b`, `stabilityai/stablelm-tuned-alpha-7b`, etc.)
- LLaMA (e.g., `lmsys/vicuna-13b-v1.3`, `young-geng/koala`, `openlm-research/open_llama_13b`, etc.)
- OPT (e.g., `facebook/opt-66b`, `facebook/opt-iml-max-30b`, etc.)
- GPT-2 (`gpt2`, `gpt2-xl`, etc.)
- GPTNeoX (`EleutherAI/gpt-neox-20b`, `databricks/dolly-v2-12b`, `stabilityai/stablelm-tuned-alpha-7b`, etc.)
- LLaMA (`lmsys/vicuna-13b-v1.3`, `young-geng/koala`, `openlm-research/open_llama_13b`, etc.)
- OPT (`facebook/opt-66b`, `facebook/opt-iml-max-30b`, etc.)
Install vLLM with pip or [from source](https://vllm.readthedocs.io/en/latest/getting_started/installation.html#build-from-source):