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* move docs -> source * Add files via upload * mv image * Add files via upload * colocate iOS setup doc * delete image * Add files via upload * fix * delete image * Add files via upload * Update developer_cookbook.md * toctree * wip subfolder * docs update * subfolder * updates * name * updates * index * updates * refactor structure * depth * docs * content * docs * getting started * distributions * fireworks * fireworks * update * theme * theme * theme * pdj theme * pytorch theme * css * theme * agents example * format * index * headers * copy button * test tabs * test tabs * fix * tabs * tab * tabs * sphinx_design * quick start commands * size * width * css * css * download models * asthetic fix * tab format * update * css * width * css * docs * tab based * tab * tabs * docs * style * image * css * color * typo * update docs * missing links * list templates * links * links update * troubleshooting * fix * distributions * docs * fix table * kill llamastack-local-gpu/cpu * Update index.md * Update index.md * mv ios_setup.md * Update ios_setup.md * Add remote_or_local.gif * Update ios_setup.md * release notes * typos * Add ios_setup to index * nav bar * hide torctree * ios image * links update * rename * rename * docs * rename * links * distributions * distributions * distributions * distributions * remove release * remote --------- Co-authored-by: dltn <6599399+dltn@users.noreply.github.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
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# 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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### Step 0. Prerequisite - Downloading Models
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Please make sure you have llama model checkpoints downloaded in `~/.llama` before proceeding. See [installation guide](https://llama-stack.readthedocs.io/en/latest/cli_reference/download_models.html) here to download the models.
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```
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$ ls ~/.llama/checkpoints
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Llama3.1-8B Llama3.2-11B-Vision-Instruct Llama3.2-1B-Instruct Llama3.2-90B-Vision-Instruct Llama-Guard-3-8B
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Llama3.1-8B-Instruct Llama3.2-1B Llama3.2-3B-Instruct Llama-Guard-3-1B Prompt-Guard-86M
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```
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### Step 1. Start the Distribution
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#### (Option 1) Start with Docker
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```
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$ cd distributions/meta-reference-gpu && docker compose up
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```
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> [!NOTE]
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> This assumes you have access to GPU to start a local server with access to your GPU.
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> [!NOTE]
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> `~/.llama` should be the path containing downloaded weights of Llama models.
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This will download and start running a pre-built docker container. Alternatively, you may use the following commands:
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```
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docker run -it -p 5000:5000 -v ~/.llama:/root/.llama -v ./run.yaml:/root/my-run.yaml --gpus=all distribution-meta-reference-gpu --yaml_config /root/my-run.yaml
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```
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#### (Option 2) Start with Conda
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1. Install the `llama` CLI. See [CLI Reference](https://llama-stack.readthedocs.io/en/latest/cli_reference/index.html)
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2. Build the `meta-reference-gpu` distribution
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```
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$ llama stack build --template meta-reference-gpu --image-type conda
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```
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3. Start running distribution
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```
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$ cd distributions/meta-reference-gpu
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$ llama stack run ./run.yaml
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```
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### (Optional) Serving a new model
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You may change the `config.model` in `run.yaml` to update the model currently being served by the distribution. Make sure you have the model checkpoint downloaded in your `~/.llama`.
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```
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inference:
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- provider_id: meta0
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provider_type: meta-reference
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config:
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model: Llama3.2-11B-Vision-Instruct
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quantization: null
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torch_seed: null
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max_seq_len: 4096
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max_batch_size: 1
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```
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Run `llama model list` to see the available models to download, and `llama model download` to download the checkpoints.
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