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Fireworks Distribution

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self

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

API	Provider(s)
agents	`inline::meta-reference`
inference	`remote::fireworks`
memory	`inline::faiss`, `remote::chromadb`, `remote::pgvector`
safety	`inline::llama-guard`
telemetry	`inline::meta-reference`

Environment Variables

The following environment variables can be configured:

LLAMASTACK_PORT: Port for the Llama Stack distribution server (default: 5001)
FIREWORKS_API_KEY: Fireworks.AI API Key (default: ``)

Models

The following models are available by default:

meta-llama/Llama-3.1-8B-Instruct (fireworks/llama-v3p1-8b-instruct)
meta-llama/Llama-3.1-70B-Instruct (fireworks/llama-v3p1-70b-instruct)
meta-llama/Llama-3.1-405B-Instruct-FP8 (fireworks/llama-v3p1-405b-instruct)
meta-llama/Llama-3.2-1B-Instruct (fireworks/llama-v3p2-1b-instruct)
meta-llama/Llama-3.2-3B-Instruct (fireworks/llama-v3p2-3b-instruct)
meta-llama/Llama-3.2-11B-Vision-Instruct (fireworks/llama-v3p2-11b-vision-instruct)
meta-llama/Llama-3.2-90B-Vision-Instruct (fireworks/llama-v3p2-90b-vision-instruct)
meta-llama/Llama-Guard-3-8B (fireworks/llama-guard-3-8b)
meta-llama/Llama-Guard-3-11B-Vision (fireworks/llama-guard-3-11b-vision)

Prerequisite: API Keys

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

Running Llama Stack with Fireworks

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 \
  llamastack/distribution-fireworks \
  --port $LLAMA_STACK_PORT \
  --env FIREWORKS_API_KEY=$FIREWORKS_API_KEY

Via Conda

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

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