forked from phoenix-oss/llama-stack-mirror
0e2a99e223
# What does this PR do? Cerebras is rolling out support for llama 3.3 70b and deprecating llama 3.1 70b. This PR updates the documentation, config, and internal mapping to reflect this change. cc: @ashwinb @raghotham
61 lines
1.5 KiB
Markdown
61 lines
1.5 KiB
Markdown
# Cerebras Distribution
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The `llamastack/distribution-cerebras` 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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| inference | `remote::cerebras` |
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| memory | `inline::meta-reference` |
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| safety | `inline::llama-guard` |
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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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- `CEREBRAS_API_KEY`: Cerebras 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 (llama3.1-8b)`
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- `meta-llama/Llama-3.3-70B-Instruct (llama-3.3-70b)`
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### Prerequisite: API Keys
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Make sure you have access to a Cerebras API Key. You can get one by visiting [cloud.cerebras.ai](https://cloud.cerebras.ai/).
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## Running Llama Stack with Cerebras
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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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-v ./run.yaml:/root/my-run.yaml \
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llamastack/distribution-cerebras \
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--yaml-config /root/my-run.yaml \
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--port $LLAMA_STACK_PORT \
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--env CEREBRAS_API_KEY=$CEREBRAS_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 cerebras --image-type conda
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llama stack run ./run.yaml \
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--port 5001 \
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--env CEREBRAS_API_KEY=$CEREBRAS_API_KEY
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```
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