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

Cerebras Distribution

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

API	Provider(s)
agents	inline::meta-reference
datasetio	remote::huggingface, inline::localfs
eval	inline::meta-reference
inference	remote::cerebras
safety	inline::llama-guard
scoring	inline::basic, inline::llm-as-judge, inline::braintrust
telemetry	inline::meta-reference
tool_runtime	remote::brave-search, remote::tavily-search, inline::code-interpreter, inline::memory-runtime
vector_io	inline::faiss, remote::chromadb, remote::pgvector

Environment Variables

The following environment variables can be configured:

• LLAMA_STACK_PORT: Port for the Llama Stack distribution server (default: 5001)
• CEREBRAS_API_KEY: Cerebras API Key (default: ``)

Models

The following models are available by default:

• meta-llama/Llama-3.1-8B-Instruct (llama3.1-8b)
• meta-llama/Llama-3.3-70B-Instruct (llama-3.3-70b)

Prerequisite: API Keys

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

Running Llama Stack with Cerebras

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=5001
docker run \
  -it \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v ./run.yaml:/root/my-run.yaml \
  llamastack/distribution-cerebras \
  --yaml-config /root/my-run.yaml \
  --port $LLAMA_STACK_PORT \
  --env CEREBRAS_API_KEY=$CEREBRAS_API_KEY

Via Conda

llama stack build --template cerebras --image-type conda
llama stack run ./run.yaml \
  --port 5001 \
  --env CEREBRAS_API_KEY=$CEREBRAS_API_KEY