llama-stack/docs/source/distributions/self_hosted_distro/together.md
2025-03-23 15:48:14 -07:00

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Together Distribution

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self

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

API Provider(s)
agents inline::meta-reference
datasetio remote::huggingface, inline::localfs
inference remote::together, inline::sentence-transformers
safety inline::llama-guard
telemetry inline::meta-reference
tool_runtime remote::brave-search, remote::tavily-search, inline::code-interpreter, inline::rag-runtime, remote::model-context-protocol, remote::wolfram-alpha
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: 8321)
  • TOGETHER_API_KEY: Together.AI API Key (default: ``)

Models

The following models are available by default:

  • meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo (aliases: meta-llama/Llama-3.1-8B-Instruct)
  • meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo (aliases: meta-llama/Llama-3.1-70B-Instruct)
  • meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo (aliases: meta-llama/Llama-3.1-405B-Instruct-FP8)
  • meta-llama/Llama-3.2-3B-Instruct-Turbo (aliases: meta-llama/Llama-3.2-3B-Instruct)
  • meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo (aliases: meta-llama/Llama-3.2-11B-Vision-Instruct)
  • meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo (aliases: meta-llama/Llama-3.2-90B-Vision-Instruct)
  • meta-llama/Llama-3.3-70B-Instruct-Turbo (aliases: meta-llama/Llama-3.3-70B-Instruct)
  • meta-llama/Meta-Llama-Guard-3-8B (aliases: meta-llama/Llama-Guard-3-8B)
  • meta-llama/Llama-Guard-3-11B-Vision-Turbo (aliases: meta-llama/Llama-Guard-3-11B-Vision)
  • togethercomputer/m2-bert-80M-8k-retrieval
  • togethercomputer/m2-bert-80M-32k-retrieval

Prerequisite: API Keys

Make sure you have access to a Together API Key. You can get one by visiting together.xyz.

Running Llama Stack with Together

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-together \
  --port $LLAMA_STACK_PORT \
  --env TOGETHER_API_KEY=$TOGETHER_API_KEY

Via Conda

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