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feat: consolidate most distros into "starter" (#2516)

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# What does this PR do?

* Removes a bunch of distros
* Removed distros were added into the "starter" distribution
* Doc for "starter" has been added
* Partially reverts https://github.com/meta-llama/llama-stack/pull/2482
  since inference providers are disabled by default and can be turned on
  manually via env variable.
* Disables safety in starter distro

Closes: https://github.com/meta-llama/llama-stack/issues/2502.

~Needs: https://github.com/meta-llama/llama-stack/pull/2482 for Ollama
to work properly in the CI.~

TODO:

- [ ] We can only update `install.sh` when we get a new release.
- [x] Update providers documentation
- [ ] Update notebooks to reference starter instead of ollama

Signed-off-by: Sébastien Han <seb@redhat.com>
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Sébastien Han 2025-07-04 15:58:03 +02:00 • committed by GitHub
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docs/source/distributions/self_hosted_distro/groq.md
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---
orphan: true
---
<!-- This file was auto-generated by distro_codegen.py, please edit source -->
# Groq Distribution
```{toctree}
:maxdepth: 2
:hidden:
self
```
The `llamastack/distribution-groq` 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::groq` |
| 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` |
### Environment Variables
The following environment variables can be configured:
- `LLAMASTACK_PORT`: Port for the Llama Stack distribution server (default: `8321`)
- `GROQ_API_KEY`: Groq API Key (default: ``)
### Models
The following models are available by default:
- `groq/llama3-8b-8192 (aliases: meta-llama/Llama-3.1-8B-Instruct)`
- `groq/llama-3.1-8b-instant `
- `groq/llama3-70b-8192 (aliases: meta-llama/Llama-3-70B-Instruct)`
- `groq/llama-3.3-70b-versatile (aliases: meta-llama/Llama-3.3-70B-Instruct)`
- `groq/llama-3.2-3b-preview (aliases: meta-llama/Llama-3.2-3B-Instruct)`
- `groq/llama-4-scout-17b-16e-instruct (aliases: meta-llama/Llama-4-Scout-17B-16E-Instruct)`
- `groq/meta-llama/llama-4-scout-17b-16e-instruct (aliases: meta-llama/Llama-4-Scout-17B-16E-Instruct)`
- `groq/llama-4-maverick-17b-128e-instruct (aliases: meta-llama/Llama-4-Maverick-17B-128E-Instruct)`
- `groq/meta-llama/llama-4-maverick-17b-128e-instruct (aliases: meta-llama/Llama-4-Maverick-17B-128E-Instruct)`
### Prerequisite: API Keys
Make sure you have access to a Groq API Key. You can get one by visiting [Groq](https://api.groq.com/).
## Running Llama Stack with Groq
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 \
llamastack/distribution-groq \
--port $LLAMA_STACK_PORT \
--env GROQ_API_KEY=$GROQ_API_KEY
```
### Via Conda
```bash
llama stack build --template groq --image-type conda
llama stack run ./run.yaml \
--port $LLAMA_STACK_PORT \
--env GROQ_API_KEY=$GROQ_API_KEY
```