forked from phoenix-oss/llama-stack-mirror
2.7 KiB
2.7 KiB
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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