forked from phoenix-oss/llama-stack-mirror

Ashwin Bharambe 992f865b2e

chore: move embedding deps to RAG tool where they are needed (#1210 )

`EMBEDDING_DEPS` were wrongly associated with `vector_io` providers.
They are needed by
https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/utils/memory/vector_store.py#L142
and related code and is used by the RAG tool and as such should only be
needed by the `inline::rag-runtime` provider.

2025-02-21 11:33:41 -08:00

2.9 KiB

Raw Blame History

orphan
true

Fireworks Distribution

:maxdepth: 2
:hidden:

self

The llamastack/distribution-fireworks 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::fireworks`, `inline::sentence-transformers`
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::rag-runtime`, `remote::model-context-protocol`
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)
FIREWORKS_API_KEY: Fireworks.AI API Key (default: ``)

Models

The following models are available by default:

meta-llama/Llama-3.1-8B-Instruct (accounts/fireworks/models/llama-v3p1-8b-instruct)
meta-llama/Llama-3.1-70B-Instruct (accounts/fireworks/models/llama-v3p1-70b-instruct)
meta-llama/Llama-3.1-405B-Instruct-FP8 (accounts/fireworks/models/llama-v3p1-405b-instruct)
meta-llama/Llama-3.2-1B-Instruct (accounts/fireworks/models/llama-v3p2-1b-instruct)
meta-llama/Llama-3.2-3B-Instruct (accounts/fireworks/models/llama-v3p2-3b-instruct)
meta-llama/Llama-3.2-11B-Vision-Instruct (accounts/fireworks/models/llama-v3p2-11b-vision-instruct)
meta-llama/Llama-3.2-90B-Vision-Instruct (accounts/fireworks/models/llama-v3p2-90b-vision-instruct)
meta-llama/Llama-3.3-70B-Instruct (accounts/fireworks/models/llama-v3p3-70b-instruct)
meta-llama/Llama-Guard-3-8B (accounts/fireworks/models/llama-guard-3-8b)
meta-llama/Llama-Guard-3-11B-Vision (accounts/fireworks/models/llama-guard-3-11b-vision)
nomic-ai/nomic-embed-text-v1.5 (nomic-ai/nomic-embed-text-v1.5)

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

2.9 KiB Raw Blame History