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## Summary After removing model management CLI in #3700, this PR updates remaining references to the old `llama download` command to use `huggingface-cli download` instead. ## Changes - Updated error messages in `meta_reference/common.py` to recommend `huggingface-cli download` - Updated error messages in `torchtune/recipes/lora_finetuning_single_device.py` to use `huggingface-cli download` - Updated post-training notebook to use `huggingface-cli download` instead of `llama download` - Fixed typo: "you model" -> "your model" ## Test Plan - Verified error messages provide correct guidance for users - Checked that notebook instructions are up-to-date with current tooling |
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| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
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Llama Stack Documentation
Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our Github page.
Render locally
From the llama-stack docs/ directory, run the following commands to render the docs locally:
npm install
npm run gen-api-docs all
npm run build
npm run serve
You can open up the docs in your browser at http://localhost:3000
Content
Try out Llama Stack's capabilities through our detailed Jupyter notebooks:
- Building AI Applications Notebook - A comprehensive guide to building production-ready AI applications using Llama Stack
- Benchmark Evaluations Notebook - Detailed performance evaluations and benchmarking results
- Zero-to-Hero Guide - Step-by-step guide for getting started with Llama Stack