llama-stack/docs/source/distributions/self_hosted_distro/sambanova.md

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SambaNova Distribution

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self

The llamastack/distribution-sambanova distribution consists of the following provider configurations.

API	Provider(s)
agents	inline::meta-reference
inference	remote::sambanova
safety	inline::llama-guard
telemetry	inline::meta-reference
tool_runtime	remote::brave-search, remote::tavily-search, inline::code-interpreter, inline::rag-runtime
vector_io	inline::faiss, remote::chromadb, remote::pgvector

Environment Variables

The following environment variables can be configured:

• LLAMASTACK_PORT: Port for the Llama Stack distribution server (default: 8321)
• SAMBANOVA_API_KEY: SambaNova.AI API Key (default: ``)

Models

The following models are available by default:

• Meta-Llama-3.1-8B-Instruct (aliases: meta-llama/Llama-3.1-8B-Instruct)
• Meta-Llama-3.1-70B-Instruct (aliases: meta-llama/Llama-3.1-70B-Instruct)
• Meta-Llama-3.1-405B-Instruct (aliases: meta-llama/Llama-3.1-405B-Instruct-FP8)
• Meta-Llama-3.2-1B-Instruct (aliases: meta-llama/Llama-3.2-1B-Instruct)
• Meta-Llama-3.2-3B-Instruct (aliases: meta-llama/Llama-3.2-3B-Instruct)
• Meta-Llama-3.3-70B-Instruct (aliases: meta-llama/Llama-3.3-70B-Instruct)
• Llama-3.2-11B-Vision-Instruct (aliases: meta-llama/Llama-3.2-11B-Vision-Instruct)
• Llama-3.2-90B-Vision-Instruct (aliases: meta-llama/Llama-3.2-90B-Vision-Instruct)
• Meta-Llama-Guard-3-8B (aliases: meta-llama/Llama-Guard-3-8B)

Prerequisite: API Keys

Make sure you have access to a SambaNova API Key. You can get one by visiting SambaNova.ai.

Running Llama Stack with SambaNova

You can do this via Conda (build code) or Docker which has a pre-built image.

Via Docker

This method allows you to get started quickly without having to build the distribution code.

LLAMA_STACK_PORT=8321
docker run \
  -it \
  --pull always \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  llamastack/distribution-sambanova \
  --port $LLAMA_STACK_PORT \
  --env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY

Via Conda

llama stack build --template sambanova --image-type conda
llama stack run ./run.yaml \
  --port $LLAMA_STACK_PORT \
  --env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY