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Restructure docs (#494)

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Rendered docs at: https://llama-stack.readthedocs.io/en/doc-simplify/
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Dinesh Yeduguru 2024-11-20 15:54:47 -08:00 • committed by GitHub
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docs/source/getting_started/distributions/self_hosted_distro/together.md
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# Fireworks Distribution
The `llamastack/distribution-together` distribution consists of the following provider configurations.
| API | Provider(s) |
|-----|-------------|
| agents | `inline::meta-reference` |
| inference | `remote::together` |
| 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`)
- `TOGETHER_API_KEY`: Together.AI API Key (default: ``)
### Models
The following models are available by default:
- `meta-llama/Llama-3.1-8B-Instruct`
- `meta-llama/Llama-3.1-70B-Instruct`
- `meta-llama/Llama-3.1-405B-Instruct-FP8`
- `meta-llama/Llama-3.2-3B-Instruct`
- `meta-llama/Llama-3.2-11B-Vision-Instruct`
- `meta-llama/Llama-3.2-90B-Vision-Instruct`
- `meta-llama/Llama-Guard-3-8B`
- `meta-llama/Llama-Guard-3-11B-Vision`
### Prerequisite: API Keys
Make sure you have access to a Together API Key. You can get one by visiting [together.xyz](https://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.
```bash
LLAMA_STACK_PORT=5001
docker run \
-it \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v ./run.yaml:/root/my-run.yaml \
llamastack/distribution-together \
--yaml-config /root/my-run.yaml \
--port $LLAMA_STACK_PORT \
--env TOGETHER_API_KEY=$TOGETHER_API_KEY
```
### Via Conda
```bash
llama stack build --template together --image-type conda
llama stack run ./run.yaml \
--port 5001 \
--env TOGETHER_API_KEY=$TOGETHER_API_KEY
```