39 lines
983 B
Markdown
39 lines
983 B
Markdown
(deployment-llamastack)=
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# Llama Stack
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vLLM is also available via [Llama Stack](https://github.com/meta-llama/llama-stack) .
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To install Llama Stack, run
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```console
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pip install llama-stack -q
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```
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## Inference using OpenAI Compatible API
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Then start Llama Stack server pointing to your vLLM server with the following configuration:
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```yaml
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inference:
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- provider_id: vllm0
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provider_type: remote::vllm
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config:
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url: http://127.0.0.1:8000
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```
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Please refer to [this guide](https://llama-stack.readthedocs.io/en/latest/distributions/self_hosted_distro/remote-vllm.html) for more details on this remote vLLM provider.
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## Inference via Embedded vLLM
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An [inline vLLM provider](https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/inline/inference/vllm)
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is also available. This is a sample of configuration using that method:
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```yaml
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inference
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- provider_type: vllm
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config:
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model: Llama3.1-8B-Instruct
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tensor_parallel_size: 4
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```
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