forked from phoenix-oss/llama-stack-mirror
1be66d754e
# What does this PR do? vLLM website just added a [new index page for installing for different hardware accelerators](https://docs.vllm.ai/en/latest/getting_started/installation.html). This PR adds a link to that page with additional edits to make sure readers are aware that the use of GPUs on this page are for demonstration purposes only. This closes https://github.com/meta-llama/llama-stack/issues/1813. Signed-off-by: Yuan Tang <terrytangyuan@gmail.com> |
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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 | ||
| 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