forked from phoenix-oss/llama-stack-mirror
ff182ff6de
# What does this PR do? Rename environment var for consistency ## Test Plan No regressions ## Sources ## Before submitting - [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [X] Ran pre-commit to handle lint / formatting issues. - [X] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [X] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests. --------- Signed-off-by: Yuan Tang <terrytangyuan@gmail.com> Co-authored-by: Yuan Tang <terrytangyuan@gmail.com>
62 lines
1.7 KiB
Markdown
62 lines
1.7 KiB
Markdown
# Cerebras Distribution
|
|
|
|
The `llamastack/distribution-cerebras` distribution consists of the following provider configurations.
|
|
|
|
| API | Provider(s) |
|
|
|-----|-------------|
|
|
| agents | `inline::meta-reference` |
|
|
| inference | `remote::cerebras` |
|
|
| memory | `inline::meta-reference` |
|
|
| safety | `inline::llama-guard` |
|
|
| telemetry | `inline::meta-reference` |
|
|
| tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::memory-runtime` |
|
|
|
|
|
|
### Environment Variables
|
|
|
|
The following environment variables can be configured:
|
|
|
|
- `LLAMA_STACK_PORT`: Port for the Llama Stack distribution server (default: `5001`)
|
|
- `CEREBRAS_API_KEY`: Cerebras API Key (default: ``)
|
|
|
|
### Models
|
|
|
|
The following models are available by default:
|
|
|
|
- `meta-llama/Llama-3.1-8B-Instruct (llama3.1-8b)`
|
|
- `meta-llama/Llama-3.3-70B-Instruct (llama-3.3-70b)`
|
|
|
|
|
|
### Prerequisite: API Keys
|
|
|
|
Make sure you have access to a Cerebras API Key. You can get one by visiting [cloud.cerebras.ai](https://cloud.cerebras.ai/).
|
|
|
|
|
|
## Running Llama Stack with Cerebras
|
|
|
|
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-cerebras \
|
|
--yaml-config /root/my-run.yaml \
|
|
--port $LLAMA_STACK_PORT \
|
|
--env CEREBRAS_API_KEY=$CEREBRAS_API_KEY
|
|
```
|
|
|
|
### Via Conda
|
|
|
|
```bash
|
|
llama stack build --template cerebras --image-type conda
|
|
llama stack run ./run.yaml \
|
|
--port 5001 \
|
|
--env CEREBRAS_API_KEY=$CEREBRAS_API_KEY
|
|
```
|