forked from phoenix-oss/llama-stack-mirror
feb9eb8b0d
# Issue Closes #2073 # What does this PR do? - Removes the `datasets.rst` from the list of document urls as it no longer exists in torchtune. Referenced PR: https://github.com/pytorch/torchtune/pull/1781 - Added a step to run `uv sync`. Previously, I would get the following error: ``` ➜ llama-stack git:(remove-deprecated-rst) uv venv --python 3.10 source .venv/bin/activate Using CPython 3.10.13 interpreter at: /usr/bin/python3.10 Creating virtual environment at: .venv Activate with: source .venv/bin/activate (llama-stack) ➜ llama-stack git:(remove-deprecated-rst) INFERENCE_MODEL=llama3.2:3b llama stack build --template ollama --image-type venv --run zsh: llama: command not found... ``` [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan To test: Run through `rag_agent` example in the `detailed_tutorial.md` file. [//]: # (## Documentation) |
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| _static | ||
| notebooks | ||
| openapi_generator | ||
| resources | ||
| source | ||
| zero_to_hero_guide | ||
| conftest.py | ||
| contbuild.sh | ||
| dog.jpg | ||
| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
| make.bat | ||
| Makefile | ||
| readme.md | ||
| requirements.txt | ||
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 ReadTheDocs page.
Render locally
pip install -r requirements.txt
cd docs
python -m sphinx_autobuild source _build
You can open up the docs in your browser at http://localhost:8000
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