forked from phoenix-oss/llama-stack-mirror
1ae61e8d5f
# What does this PR do? start_stack.sh was using --yaml-config which is deprecated. a bunch of distro docs also mentioned --yaml-config. Replaces all instances and logic for --yaml-config with --config resolves #2189 Signed-off-by: Charlie Doern <cdoern@redhat.com>
67 lines
2 KiB
Markdown
67 lines
2 KiB
Markdown
<!-- This file was auto-generated by distro_codegen.py, please edit source -->
|
|
# Cerebras Distribution
|
|
|
|
The `llamastack/distribution-cerebras` distribution consists of the following provider configurations.
|
|
|
|
| API | Provider(s) |
|
|
|-----|-------------|
|
|
| agents | `inline::meta-reference` |
|
|
| datasetio | `remote::huggingface`, `inline::localfs` |
|
|
| eval | `inline::meta-reference` |
|
|
| inference | `remote::cerebras`, `inline::sentence-transformers` |
|
|
| safety | `inline::llama-guard` |
|
|
| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
|
|
| telemetry | `inline::meta-reference` |
|
|
| tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::rag-runtime` |
|
|
| 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`)
|
|
- `CEREBRAS_API_KEY`: Cerebras API Key (default: ``)
|
|
|
|
### Models
|
|
|
|
The following models are available by default:
|
|
|
|
- `llama3.1-8b (aliases: meta-llama/Llama-3.1-8B-Instruct)`
|
|
- `llama-3.3-70b (aliases: meta-llama/Llama-3.3-70B-Instruct)`
|
|
|
|
|
|
### 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=8321
|
|
docker run \
|
|
-it \
|
|
--pull always \
|
|
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
|
|
-v ./run.yaml:/root/my-run.yaml \
|
|
llamastack/distribution-cerebras \
|
|
--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 8321 \
|
|
--env CEREBRAS_API_KEY=$CEREBRAS_API_KEY
|
|
```
|