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