feat: move to uv first (#3545)
* feat: move to uv first * fix: update doc to uv first * fix: merge dev/tests into uv pyproject * fix: update docker docs to match current config * fix: migrate examples to readme * fix: add llmcompressor to conflict * feat: rec uv sync with lockfile for dev/ci * fix: update docker docs to clarify how to use uv images * chore: docs * fix: use system python, no venv * fix: set backend cpu * fix: only set for installing pytorch step * fix: remove unsloth kernel and installs * fix: remove U in tests * fix: set backend in deps too * chore: test * chore: comments * fix: attempt to lock torch * fix: workaround torch cuda and not upgraded * fix: forgot to push * fix: missed source * fix: nightly upstream loralinear config * fix: nightly phi3 long rope not work * fix: forgot commit * fix: test phi3 template change * fix: no more requirements * fix: carry over changes from new requirements to pyproject * chore: remove lockfile per discussion * fix: set match-runtime * fix: remove unneeded hf hub buildtime * fix: duplicate cache delete on nightly * fix: torchvision being overridden * fix: migrate to uv images * fix: leftover from merge * fix: simplify base readme * fix: update assertion message to be clearer * chore: docs * fix: change fallback for cicd script * fix: match against main exactly * fix: peft 0.19.1 change * fix: e2e test * fix: ci * fix: e2e test
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@@ -76,8 +76,9 @@ datasets:
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Make sure you have an [editable install](https://setuptools.pypa.io/en/latest/userguide/development_mode.html) of Axolotl, which ensures that changes you make to the code are reflected at runtime. Run the following commands from the root of this project:
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```bash
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pip3 install packaging
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pip3 install --no-build-isolation -e '.[flash-attn,deepspeed]'
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export UV_TORCH_BACKEND=cu128 # or cu130
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uv sync --extra flash-attn --extra deepspeed --group dev --group test
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source .venv/bin/activate
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```
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#### Remote Hosts
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@@ -208,17 +209,17 @@ cd axolotl
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Next, run the desired docker image and mount the current directory. Below is a docker command you can run to do this:[^2]
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```bash
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docker run --privileged --gpus '"all"' --shm-size 10g --rm -it --name axolotl --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 --mount type=bind,src="${PWD}",target=/workspace/axolotl -v ${HOME}/.cache/huggingface:/root/.cache/huggingface axolotlai/axolotl:main-py3.10-cu118-2.0.1
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docker run --privileged --gpus '"all"' --shm-size 10g --rm -it --name axolotl --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 --mount type=bind,src="${PWD}",target=/workspace/axolotl -v ${HOME}/.cache/huggingface:/root/.cache/huggingface axolotlai/axolotl-uv:main-latest
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```
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>[!Tip]
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> To understand which containers are available, see the [Docker section of the README](../README.md#docker) and the [DockerHub repo](https://hub.docker.com/r/axolotlai/axolotl/tags). For details of how the Docker containers are built, see axolotl's [Docker CI builds](../.github/workflows/main.yml).
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You will now be in the container. Next, perform an editable install of Axolotl:
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You will now be in the container. Next, install Axolotl with dev dependencies:
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```bash
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pip3 install packaging
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pip3 install --no-build-isolation -e '.[flash-attn,deepspeed]'
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uv sync --extra flash-attn --extra deepspeed --group dev --group test
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source .venv/bin/activate
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```
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### Attach To Container
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