phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-12-14 00:32:36 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

readme

Browse source
This commit is contained in:
Xi Yan 2024-10-21 09:11:25 -07:00
parent 5ea36b0274
commit 29c8edb4f6
2 changed files with 34 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

33
distributions/meta-reference-gpu/README.md Normal file
View file

@ -0,0 +1,33 @@
# Meta Reference Distribution
The `llamastack/distribution-meta-reference-gpu` distribution consists of the following provider configurations.
| **API** | **Inference** | **Agents** | **Memory** | **Safety** | **Telemetry** |
|----------------- |--------------- |---------------- |-------------------------------------------------- |---------------- |---------------- |
| **Provider(s)** | meta-reference | meta-reference | meta-reference, remote::pgvector, remote::chroma | meta-reference | meta-reference |
### Start the Distribution (Single Node GPU)
> [!NOTE]
> This assumes you have access to GPU to start a TGI server with access to your GPU.
> [!NOTE]
> For GPU inference, you need to set these environment variables for specifying local directory containing your model checkpoints, and enable GPU inference to start running docker container.
```
export LLAMA_CHECKPOINT_DIR=~/.llama
```
> [!NOTE]
> `~/.llama` should be the path containing downloaded weights of Llama models.
To download and start running a pre-built docker container, you may use the following commands:
```
docker run -it -p 5000:5000 -v ~/.llama:/root/.llama --gpus=all llamastack/llamastack-local-gpu
```
### Alternative (Build and start distribution locally via conda)
- You may checkout the [Getting Started](../../docs/getting_started.md) for more details on starting up a meta-reference distribution.

2
docs/getting_started.md
View file

@ -49,7 +49,7 @@ docker run -it -p 5000:5000 -v ~/.llama:/root/.llama --gpus=all llamastack/llama
```
> [!TIP]
> Pro Tip: We may use `docker compose up` for starting up a distribution with remote providers (e.g. TGI) using [llamastack-local-cpu](https://hub.docker.com/repository/docker/llamastack/llamastack-local-cpu/general). You can checkout [these scripts](../llama_stack/distribution/docker/README.md) to help you get started.
> Pro Tip: We may use `docker compose up` for starting up a distribution with remote providers (e.g. TGI) using [llamastack-local-cpu](https://hub.docker.com/repository/docker/llamastack/llamastack-local-cpu/general). You can checkout [these scripts](../distributions/) to help you get started.
#### Build->Configure->Run Llama Stack server via conda
You may also build a LlamaStack distribution from scratch, configure it, and start running the distribution. This is useful for developing on LlamaStack.