meta-reference-quantized-gpu

Meta Reference Quantized Distribution

The llamastack/distribution-meta-reference-quantized-gpu distribution consists of the following provider configurations.

API	Inference	Agents	Memory	Safety	Telemetry
Provider(s)	meta-reference-quantized	meta-reference	meta-reference, remote::pgvector, remote::chroma	meta-reference	meta-reference

The only difference vs. the meta-reference-gpu distribution is that it has support for more efficient inference -- with fp8, int4 quantization, etc.

Start the Distribution (Single Node GPU)

Note

This assumes you have access to GPU to start a local server with access to your GPU.

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 \
  -v ./run.yaml:/root/my-run.yaml \
  --gpus=all \
  distribution-meta-reference-quantized-gpu \
  --yaml_config /root/my-run.yaml

Alternative (Build and start distribution locally via conda)

• You may checkout the Getting Started for more details on building locally via conda and starting up the distribution.