forked from phoenix-oss/llama-stack-mirror
7a4383e4c1
# What does this PR do? - add llama3.3 model for together - fix fireworks distro_codegen ``` python llama_stack/scripts/distro_codegen.py ``` ## Test Plan <img width="1132" alt="image" src="https://github.com/user-attachments/assets/bf94b933-9200-4e73-878e-d1a95d450a88" /> **Tests** ``` pytest -v -s -k "together" --inference-model="meta-llama/Llama-3.3-70B-Instruct" ./llama_stack/providers/tests/inference/test_text_inference.py ``` <img width="1139" alt="image" src="https://github.com/user-attachments/assets/407dc98b-8de3-4841-8cb1-75e4b5128544" /> ## Sources Please link relevant resources if necessary. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
79 lines
2 KiB
Markdown
79 lines
2 KiB
Markdown
---
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orphan: true
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---
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# Together Distribution
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```{toctree}
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:maxdepth: 2
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:hidden:
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self
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```
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The `llamastack/distribution-together` distribution consists of the following provider configurations.
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| API | Provider(s) |
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|-----|-------------|
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| agents | `inline::meta-reference` |
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| datasetio | `remote::huggingface`, `inline::localfs` |
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| eval | `inline::meta-reference` |
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| inference | `remote::together` |
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| memory | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
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| safety | `inline::llama-guard` |
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| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
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| telemetry | `inline::meta-reference` |
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### Environment Variables
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The following environment variables can be configured:
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- `LLAMASTACK_PORT`: Port for the Llama Stack distribution server (default: `5001`)
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- `TOGETHER_API_KEY`: Together.AI API Key (default: ``)
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### Models
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The following models are available by default:
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- `meta-llama/Llama-3.1-8B-Instruct`
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- `meta-llama/Llama-3.1-70B-Instruct`
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- `meta-llama/Llama-3.1-405B-Instruct-FP8`
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- `meta-llama/Llama-3.2-3B-Instruct`
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- `meta-llama/Llama-3.2-11B-Vision-Instruct`
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- `meta-llama/Llama-3.2-90B-Vision-Instruct`
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- `meta-llama/Llama-3.3-70B-Instruct`
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- `meta-llama/Llama-Guard-3-8B`
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- `meta-llama/Llama-Guard-3-11B-Vision`
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### Prerequisite: API Keys
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Make sure you have access to a Together API Key. You can get one by visiting [together.xyz](https://together.xyz/).
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## Running Llama Stack with Together
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You can do this via Conda (build code) or Docker which has a pre-built image.
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### Via Docker
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This method allows you to get started quickly without having to build the distribution code.
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```bash
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LLAMA_STACK_PORT=5001
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docker run \
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-it \
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-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
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llamastack/distribution-together \
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--port $LLAMA_STACK_PORT \
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--env TOGETHER_API_KEY=$TOGETHER_API_KEY
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```
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### Via Conda
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```bash
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llama stack build --template together --image-type conda
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llama stack run ./run.yaml \
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--port $LLAMA_STACK_PORT \
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--env TOGETHER_API_KEY=$TOGETHER_API_KEY
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```
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