llama-stack-mirror/docs/source/providers/post_training
Charlie Doern 41431d8bdd refactor: convert providers to be installed via package
currently providers have a `pip_package` list. Rather than make our own form of python dependency management, we should use `pyproject.toml` files in each provider declaring the dependencies in a more trackable manner.
Each provider can then be installed using the already in place `module` field in the ProviderSpec, pointing to the directory the provider lives in
we can then simply `uv pip install` this directory as opposed to installing the dependencies one by one

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-09-22 09:23:50 -04:00
..
index.md feat(distro): no huggingface provider for starter (#3258) 2025-08-26 14:06:36 -07:00
inline_huggingface-cpu.md feat(distro): fork off a starter-gpu distribution (#3240) 2025-08-22 15:47:15 -07:00
inline_huggingface-gpu.md feat(distro): fork off a starter-gpu distribution (#3240) 2025-08-22 15:47:15 -07:00
inline_huggingface.md chore(misc): make tests and starter faster (#3042) 2025-08-05 14:55:05 -07:00
inline_torchtune-cpu.md refactor: convert providers to be installed via package 2025-09-22 09:23:50 -04:00
inline_torchtune-gpu.md refactor: convert providers to be installed via package 2025-09-22 09:23:50 -04:00
inline_torchtune.md docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
remote_nvidia.md fix: allow default empty vars for conditionals (#2570) 2025-07-01 14:42:05 +02:00