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README.md
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You can utilize one of the following LLM inference frameworks to create an OpenAI compatible server:
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#### [lmdeploy(>=0.9.2)](https://github.com/InternLM/lmdeploy)
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```bash
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lmdeploy serve api_server internlm/Intern-S1-mini --reasoning-parser intern-s1 --tool-call-parser intern-s1
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```
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#### [vllm](https://github.com/vllm-project/vllm)
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```bash
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vllm serve internlm/Intern-S1-mini --trust-remote-code
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}
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```
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## Citation
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If you find this work useful, feel free to give us a cite.
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You can utilize one of the following LLM inference frameworks to create an OpenAI compatible server:
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#### [lmdeploy (>=0.9.2)](https://github.com/InternLM/lmdeploy)
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```bash
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lmdeploy serve api_server internlm/Intern-S1-mini --reasoning-parser intern-s1 --tool-call-parser intern-s1
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```
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#### [vllm (>=0.10.1)](https://github.com/vllm-project/vllm)
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```bash
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vllm serve internlm/Intern-S1-mini --trust-remote-code
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}
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```
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## Fine-tuning
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See this [documentation](https://github.com/InternLM/Intern-S1/blob/main/docs/sft.md) for more details.
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## Citation
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If you find this work useful, feel free to give us a cite.
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