diff --git a/.coveragerc b/.coveragerc
index c5670410c7..23732e3a97 100644
--- a/.coveragerc
+++ b/.coveragerc
@@ -2,7 +2,6 @@
source = axolotl
omit =
*/tests/*
- setup.py
[report]
exclude_lines =
diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md
index fcfd968916..d4dda3fb8a 100644
--- a/.github/CONTRIBUTING.md
+++ b/.github/CONTRIBUTING.md
@@ -29,13 +29,18 @@ PRs are **greatly welcome**!
2. Set up the development environment by following the instructions in the [README.md](https://github.com/axolotl-ai-cloud/axolotl/tree/main/README.md) file.
3. Explore the codebase, run tests, and verify that everything works as expected.
-Please run below to setup env
+Please run the below to setup:
+
```bash
-pip3 install -r requirements-dev.txt -r requirements-tests.txt
-pre-commit install
+git clone https://github.com/axolotl-ai-cloud/axolotl.git
+cd axolotl
+
+uv sync --dev && uv pip install flash-attn --no-build-isolation
+source .venv/bin/activate
+
+pre-commit install # install pre-commit hooks
-# test
-pytest tests/
+pytest tests/ # optional; run test suite
```
## How to Contribute
diff --git a/.github/workflows/base.yml b/.github/workflows/base.yml
index 160ed7df90..2c8788c022 100644
--- a/.github/workflows/base.yml
+++ b/.github/workflows/base.yml
@@ -39,13 +39,6 @@ jobs:
pytorch: 2.6.0
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
dockerfile: "Dockerfile-base"
- - cuda: "126"
- cuda_version: 12.6.3
- cudnn_version: ""
- python_version: "3.11"
- pytorch: 2.7.0
- torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
- dockerfile: "Dockerfile-base"
- cuda: "126"
cuda_version: 12.6.3
cudnn_version: ""
@@ -105,7 +98,9 @@ jobs:
context: .
file: ./docker/${{ matrix.dockerfile }}
push: ${{ github.event_name != 'pull_request' }}
- tags: ${{ steps.metadata.outputs.tags }}-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
+ tags: |
+ ${{ steps.metadata.outputs.tags }}-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
+ ${{ steps.metadata.outputs.tags }}-base-uv-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
labels: ${{ steps.metadata.outputs.labels }}
build-args: |
CUDA_VERSION=${{ matrix.cuda_version }}
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 5b5cc54891..07048759cf 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -20,10 +20,14 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: '3.11'
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install dependencies
run: |
- python3 -m pip install jupyter quartodoc
- python3 -m pip install -e .
+ uv pip install --system jupyter quartodoc
+ uv pip install --system -e .
- name: Build autodoc
run: quartodoc build
- name: Publish to GitHub Pages (and render)
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
index cf322f1059..ce5f006e06 100644
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@@ -6,7 +6,7 @@ on:
types: [opened, synchronize, reopened, ready_for_review]
paths:
- '**.py'
- - 'requirements.txt'
+ - 'pyproject.toml'
- '.github/workflows/*.yml'
- "*.[q]md"
- "examples/**/*.y[a]?ml"
@@ -23,5 +23,4 @@ jobs:
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- cache: 'pip' # caching pip dependencies
- uses: pre-commit/action@v3.0.1
diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 3f98dd2b42..2068205865 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -20,11 +20,6 @@ jobs:
python_version: "3.11"
pytorch: 2.6.0
axolotl_extras:
- - cuda: 126
- cuda_version: 12.6.3
- python_version: "3.11"
- pytorch: 2.7.0
- axolotl_extras:
- cuda: 126
cuda_version: 12.6.3
python_version: "3.11"
@@ -73,6 +68,8 @@ jobs:
PYTORCH_VERSION=${{ matrix.pytorch }}
AXOLOTL_ARGS=${{ matrix.axolotl_args }}
AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}
+ GIT_REF=${{ github.ref }}
+ GIT_SHA=${{ github.sha }}
file: ./docker/Dockerfile
push: ${{ github.event_name != 'pull_request' }}
tags: |
@@ -93,11 +90,6 @@ jobs:
python_version: "3.11"
pytorch: 2.6.0
axolotl_extras:
- - cuda: 126
- cuda_version: 12.6.3
- python_version: "3.11"
- pytorch: 2.7.0
- axolotl_extras:
- cuda: 126
cuda_version: 12.6.3
python_version: "3.11"
@@ -148,6 +140,8 @@ jobs:
build-args: |
BASE_TAG=${{ github.ref_type == 'tag' && 'main' || github.ref_name }}-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
CUDA=${{ matrix.cuda }}
+ GIT_REF=${{ github.ref }}
+ GIT_SHA=${{ github.sha }}
file: ./docker/Dockerfile-cloud
push: ${{ github.event_name != 'pull_request' }}
tags: |
@@ -213,6 +207,8 @@ jobs:
build-args: |
BASE_TAG=${{ github.ref_type == 'tag' && 'main' || github.ref_name }}-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
CUDA=${{ matrix.cuda }}
+ GIT_REF=${{ github.ref }}
+ GIT_SHA=${{ github.sha }}
file: ./docker/Dockerfile-cloud-no-tmux
push: ${{ github.event_name != 'pull_request' }}
tags: |
diff --git a/.github/workflows/multi-gpu-e2e.yml b/.github/workflows/multi-gpu-e2e.yml
index 05f9e0761e..d8f50bda0f 100644
--- a/.github/workflows/multi-gpu-e2e.yml
+++ b/.github/workflows/multi-gpu-e2e.yml
@@ -4,8 +4,6 @@ on:
pull_request:
paths:
- 'tests/e2e/multigpu/**.py'
- - 'requirements.txt'
- - 'setup.py'
- 'pyproject.toml'
- '.github/workflows/multi-gpu-e2e.yml'
- 'src/axolotl/core/trainers/mixins/sequence_parallel.py'
@@ -56,13 +54,17 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: "3.11"
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install Modal
run: |
python -m pip install --upgrade pip
- pip install modal==1.0.2 jinja2
+ pip install modal==1.0.2 jinja2 protobuf
- name: Update env vars
run: |
- echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
+ echo "BASE_TAG=${{ github.ref_name }}-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
@@ -72,4 +74,4 @@ jobs:
echo "CODECOV_TOKEN=${{ secrets.CODECOV_TOKEN }}" >> $GITHUB_ENV
- name: Run tests job on Modal
run: |
- modal run cicd.multigpu
+ modal run -m cicd.multigpu
diff --git a/.github/workflows/nightlies.yml b/.github/workflows/nightlies.yml
index 49bce470b8..0ff343c36f 100644
--- a/.github/workflows/nightlies.yml
+++ b/.github/workflows/nightlies.yml
@@ -52,6 +52,8 @@ jobs:
CUDA=${{ matrix.cuda }}
PYTORCH_VERSION=${{ matrix.pytorch }}
AXOLOTL_ARGS=${{ matrix.axolotl_args }}
+ GIT_REF=${{ github.ref }}
+ GIT_SHA=${{ github.sha }}
file: ./docker/Dockerfile
push: ${{ github.event_name != 'pull_request' }}
tags: |
@@ -102,6 +104,8 @@ jobs:
build-args: |
BASE_TAG=${{ github.ref_name }}-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
CUDA=${{ matrix.cuda }}
+ GIT_REF=${{ github.ref }}
+ GIT_SHA=${{ github.sha }}
file: ./docker/Dockerfile-cloud
push: ${{ github.event_name != 'pull_request' }}
tags: |
diff --git a/.github/workflows/precommit-autoupdate.yml b/.github/workflows/precommit-autoupdate.yml
index 10330f9555..42bf19f86b 100644
--- a/.github/workflows/precommit-autoupdate.yml
+++ b/.github/workflows/precommit-autoupdate.yml
@@ -18,10 +18,15 @@ jobs:
with:
python-version: '3.11'
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
+
- name: Update pre-commit hooks
id: update
run: |
- pip install pre-commit
+ uv pip install --system pre-commit
pre-commit autoupdate
if [[ -n $(git status --porcelain) ]]; then
echo "changes=true" >> $GITHUB_OUTPUT
diff --git a/.github/workflows/preview-docs.yml b/.github/workflows/preview-docs.yml
index db4abddce5..7b22cbcfa2 100644
--- a/.github/workflows/preview-docs.yml
+++ b/.github/workflows/preview-docs.yml
@@ -40,10 +40,15 @@ jobs:
with:
python-version: '3.11'
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
+
- name: Install dependencies
run: |
- python3 -m pip install jupyter quartodoc
- python3 -m pip install -e .
+ uv pip install --system jupyter quartodoc
+ uv pip install --system -e .
- name: Build autodoc
run: quartodoc build
diff --git a/.github/workflows/pypi.yml b/.github/workflows/pypi.yml
index 24e3c497d7..e96f0da250 100644
--- a/.github/workflows/pypi.yml
+++ b/.github/workflows/pypi.yml
@@ -38,23 +38,24 @@ jobs:
with:
python-version: "3.11"
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
+
- name: Install dependencies
run: |
- pip3 install wheel packaging==23.2
- pip3 install --no-build-isolation -e .
- pip3 install -r requirements-dev.txt -r requirements-tests.txt
+ uv pip install --system wheel packaging==23.2
+ uv pip install --system --no-build-isolation -e ".[dev]"
- name: Extract tag name
id: tag
- run: echo ::set-output name=TAG_NAME::$(echo $GITHUB_REF | cut -d / -f 3)
-
- - name: Update version in setup.py
- run: |
- sed -i -E 's/version="([0-9.]+)",/version="${{ steps.tag.outputs.TAG_NAME }}",/g' setup.py
+ run: echo "TAG_NAME=$(echo "$GITHUB_REF" | cut -d / -f 3)" >> "$GITHUB_OUTPUT"
- - name: Build a source dist
+ - name: Build package
run: |
- python setup.py sdist
+ uv pip install --system build
+ python -m build
- name: Publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
diff --git a/.github/workflows/tests-nightly.yml b/.github/workflows/tests-nightly.yml
index fc6c2b396e..3f90235bb2 100644
--- a/.github/workflows/tests-nightly.yml
+++ b/.github/workflows/tests-nightly.yml
@@ -13,7 +13,6 @@ jobs:
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- cache: 'pip' # caching pip dependencies
- uses: pre-commit/action@v3.0.1
env:
SKIP: no-commit-to-branch
@@ -43,32 +42,30 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python_version }}
- cache: 'pip' # caching pip dependencies
- - name: upgrade pip
- run: |
- pip3 install --upgrade pip
- pip3 install --upgrade packaging==23.2 setuptools==75.8.0 wheel
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install PyTorch
run: |
- pip3 install torch==${{ matrix.pytorch_version }} torchvision
+ uv pip install --system torch==${{ matrix.pytorch_version }} torchvision
- - name: Update requirements.txt
+ - name: Update pyproject.toml for nightly builds
run: |
- sed -i 's#^transformers.*#transformers @ git+https://github.com/huggingface/transformers.git@main#' requirements.txt
- sed -i 's#^peft.*#peft @ git+https://github.com/huggingface/peft.git@main#' requirements.txt
- sed -i 's#^accelerate.*#accelerate @ git+https://github.com/huggingface/accelerate.git@main#' requirements.txt
- sed -i 's#^trl.*#trl @ git+https://github.com/huggingface/trl.git@main#' requirements.txt
- sed -i 's#^datasets.*#datasets @ git+https://github.com/huggingface/datasets.git@main#' requirements.txt
+ sed -i 's#"transformers==.*"#"transformers @ git+https://github.com/huggingface/transformers.git@main"#' pyproject.toml
+ sed -i 's#"peft==.*"#"peft @ git+https://github.com/huggingface/peft.git@main"#' pyproject.toml
+ sed -i 's#"accelerate==.*"#"accelerate @ git+https://github.com/huggingface/accelerate.git@main"#' pyproject.toml
+ sed -i 's#"trl==.*"#"trl @ git+https://github.com/huggingface/trl.git@main"#' pyproject.toml
+ sed -i 's#"datasets==.*"#"datasets @ git+https://github.com/huggingface/datasets.git@main"#' pyproject.toml
- name: Install dependencies
run: |
- pip3 show torch
- pip3 install --no-build-isolation -U -e .
+ uv pip show --system torch
+ uv pip install --system --no-build-isolation -e ".[dev]"
python scripts/unsloth_install.py | sh
python scripts/cutcrossentropy_install.py | sh
- pip3 install -r requirements-dev.txt -r requirements-tests.txt
- name: Make sure PyTorch version wasn't clobbered
run: |
@@ -84,9 +81,6 @@ jobs:
pytest -v --durations=10 tests/patched/
pytest -v --durations=10 tests/cli/
- - name: cleanup pip cache
- run: |
- find "$(pip cache dir)/http-v2" -type f -mtime +14 -exec rm {} \;
docker-e2e-tests:
if: github.repository_owner == 'axolotl-ai-cloud'
@@ -120,13 +114,16 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: "3.11"
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install Modal
run: |
- python -m pip install --upgrade pip
- pip install modal==1.0.2 jinja2
+ uv pip install --system modal==1.0.2 jinja2
- name: Update env vars
run: |
- echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
+ echo "BASE_TAG=main-base-uv-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
@@ -136,7 +133,7 @@ jobs:
echo "CODECOV_TOKEN=${{ secrets.CODECOV_TOKEN }}" >> $GITHUB_ENV
- name: Run tests job on Modal
run: |
- modal run cicd.e2e_tests
+ modal run -m cicd.e2e_tests
docker-e2e-multigpu-tests:
if: github.repository_owner == 'axolotl-ai-cloud'
# this job needs to be run on self-hosted GPU runners...
@@ -162,13 +159,16 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: "3.11"
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install Modal
run: |
- python -m pip install --upgrade pip
- pip install modal==1.0.2 jinja2
+ uv pip install --system modal==1.0.2 jinja2
- name: Update env vars
run: |
- echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
+ echo "BASE_TAG=main-base-uv-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 5d5bdb5ac9..fbd7dc6cb0 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -7,18 +7,16 @@ on:
- "main"
paths:
- '**.py'
- - 'requirements.txt'
+ - 'pyproject.toml'
- '.github/workflows/*.yml'
- - 'requirements-tests.txt'
- 'cicd/cicd.sh'
- 'cicd/Dockerfile.jinja'
pull_request:
types: [opened, synchronize, reopened, ready_for_review]
paths:
- '**.py'
- - 'requirements.txt'
+ - 'pyproject.toml'
- '.github/workflows/*.yml'
- - 'requirements-tests.txt'
- 'cicd/cicd.sh'
- 'cicd/Dockerfile.jinja'
workflow_dispatch:
@@ -41,7 +39,6 @@ jobs:
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- cache: 'pip' # caching pip dependencies
- uses: pre-commit/action@v3.0.1
env:
SKIP: no-commit-to-branch
@@ -72,24 +69,25 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python_version }}
- cache: 'pip' # caching pip dependencies
- - name: upgrade pip
- run: |
- pip3 install --upgrade pip
- pip3 install --upgrade packaging==23.2 setuptools==75.8.0 wheel
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install PyTorch
run: |
- pip3 install --no-cache-dir torch==${{ matrix.pytorch_version }} torchvision
+ uv pip install --system torch==${{ matrix.pytorch_version }} torchvision
- name: Install dependencies
run: |
- pip3 show torch
- pip3 install --no-cache-dir --no-build-isolation -U -e .
- python scripts/unsloth_install.py | sh
- python scripts/cutcrossentropy_install.py | sh
- pip3 install -r requirements-dev.txt -r requirements-tests.txt
+ uv pip show --system torch
+ uv pip install --system wheel
+ printf "torch==${{ matrix.pytorch_version }}\n" > torch-constraints.txt
+ uv pip install --system --no-cache-dir --no-build-isolation -e ".[dev]" --constraints torch-constraints.txt
+ set -o pipefail
+ python scripts/unsloth_install.py | bash
+ python scripts/cutcrossentropy_install.py | bash
- name: Make sure PyTorch version wasn't clobbered
run: |
@@ -105,10 +103,10 @@ jobs:
- name: Run tests
run: |
- pytest -v --durations=10 -n8 --dist loadfile --ignore=tests/e2e/ --ignore=tests/patched/ --ignore=tests/cli/ --ignore=tests/monkeypatch/ tests/ --cov=axolotl --cov-report=xml
- pytest -v --durations=10 tests/monkeypatch/ --cov=axolotl --cov-append --cov-report=xml
- pytest -v --durations=10 tests/patched/ --cov=axolotl --cov-append --cov-report=xml
- pytest -v --durations=10 tests/cli/ --cov=axolotl --cov-append --cov-report=xml
+ python -m pytest -v --durations=10 -n 8 --dist loadfile --cov=axolotl --cov-report=xml --ignore=tests/e2e/ --ignore=tests/patched/ --ignore=tests/cli/ --ignore=tests/monkeypatch/ tests/
+ python -m pytest -v --durations=10 -n 8 --cov=axolotl --cov-append --cov-report=xml tests/monkeypatch/
+ python -m pytest -v --durations=10 -n 8 --cov=axolotl --cov-append --cov-report=xml tests/patched/
+ python -m pytest -v --durations=10 -n 8 --cov=axolotl --cov-append --cov-report=xml tests/cli/
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v5
@@ -118,9 +116,6 @@ jobs:
flags: unittests,pytorch-${{ matrix.pytorch_version }}
fail_ci_if_error: false
- - name: cleanup pip cache
- run: |
- find "$(pip cache dir)/http-v2" -type f -mtime +14 -exec rm {} \;
pytest-sdist:
name: PyTest from Source Dist
@@ -147,25 +142,26 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python_version }}
- cache: 'pip' # caching pip dependencies
- - name: upgrade pip
- run: |
- pip3 install --upgrade pip
- pip3 install --upgrade packaging==23.2 setuptools==75.8.0 setuptools_scm build wheel
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install PyTorch
run: |
- pip3 install --no-cache-dir torch==${{ matrix.pytorch_version }} torchvision
+ uv pip install --system torch==${{ matrix.pytorch_version }} torchvision
- name: Install dependencies
run: |
- pip3 show torch
- python -m build --no-isolation --sdist
- pip3 install --no-cache-dir --no-build-isolation dist/axolotl*.tar.gz
+ uv pip show --system torch
+ uv pip install --system wheel build setuptools_scm
+ python -m build --sdist
+ printf "torch==${{ matrix.pytorch_version }}\n" > torch-constraints.txt
+ tarball_path=$(echo dist/axolotl*.tar.gz)
+ uv pip install --no-cache-dir --no-build-isolation --system "${tarball_path}[dev]" --constraints torch-constraints.txt
python scripts/unsloth_install.py | sh
python scripts/cutcrossentropy_install.py | sh
- pip3 install -r requirements-dev.txt -r requirements-tests.txt
- name: Make sure PyTorch version wasn't clobbered
run: |
@@ -180,13 +176,9 @@ jobs:
- name: Run tests
run: |
- pytest -v --durations=10 -n8 --dist loadfile --ignore=tests/e2e/ --ignore=tests/patched/ --ignore=tests/cli/ --ignore=tests/monkeypatch/ tests/ --cov=axolotl --cov-report=xml
- pytest -v --durations=10 tests/monkeypatch/ --cov=axolotl --cov-append --cov-report=xml
- pytest -v --durations=10 tests/cli/
-
- - name: cleanup pip cache
- run: |
- find "$(pip cache dir)/http-v2" -type f -mtime +14 -exec rm {} \;
+ python -m pytest -v --durations=10 -n 8 --dist loadfile --cov=axolotl --cov-report=xml --ignore=tests/e2e/ --ignore=tests/patched/ --ignore=tests/cli/ --ignore=tests/monkeypatch/ tests/
+ python -m pytest -v --durations=10 -n 8 --cov=axolotl --cov-append --cov-report=xml tests/monkeypatch/
+ python -m pytest -v --durations=10 -n 8 tests/cli/
gate-skip-e2e:
needs: [pre-commit, pytest, pytest-sdist]
@@ -243,7 +235,7 @@ jobs:
pytorch: 2.7.1
num_gpus: 1
axolotl_extras:
- dockerfile: "Dockerfile-uv.jinja"
+ dockerfile: "Dockerfile.jinja"
steps:
- name: Checkout
uses: actions/checkout@v4
@@ -251,13 +243,17 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: "3.11"
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install Modal
run: |
python -m pip install --upgrade pip
- pip install modal==1.0.2 jinja2
+ pip install modal==1.0.2 jinja2 protobuf
- name: Update env vars
run: |
- echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
+ echo "BASE_TAG=${{ github.ref_name }}-base-uv-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
@@ -312,13 +308,17 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: "3.11"
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install Modal
run: |
python -m pip install --upgrade pip
- pip install modal==1.0.2 jinja2
+ pip install modal==1.0.2 jinja2 protobuf
- name: Update env vars
run: |
- echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
+ echo "BASE_TAG=${{ github.ref_name }}-base-uv-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
@@ -355,13 +355,17 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: "3.11"
+ - name: Install uv
+ uses: astral-sh/setup-uv@v4
+ with:
+ version: "latest"
- name: Install Modal
run: |
python -m pip install --upgrade pip
- pip install modal==1.0.2 jinja2
+ pip install modal==1.0.2 jinja2 protobuf
- name: Update env vars
run: |
- echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
+ echo "BASE_TAG=${{ github.ref_name }}-base-uv-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
diff --git a/.gitignore b/.gitignore
index b75becc7c1..ebaae1aa9d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -191,5 +191,5 @@ out/
# vim
*.swp
-# scm auto-versioning
+# setuptools-scm generated version file
src/axolotl/_version.py
diff --git a/.runpod/Dockerfile b/.runpod/Dockerfile
index 107caf5f3c..3fcad5df83 100644
--- a/.runpod/Dockerfile
+++ b/.runpod/Dockerfile
@@ -1,9 +1,8 @@
FROM axolotlai/axolotl-cloud:main-py3.11-cu124-2.6.0
COPY .runpod/requirements.txt /requirements.txt
-RUN --mount=type=cache,target=/root/.cache/pip \
- python3 -m pip install --upgrade pip && \
- python3 -m pip install --upgrade -r /requirements.txt
+RUN curl -LsSf https://astral.sh/uv/install.sh | sh && \
+ /root/.local/bin/uv pip install --system -r /requirements.txt
# Environment settings
ARG BASE_VOLUME="/runpod-volume"
diff --git a/MANIFEST.in b/MANIFEST.in
index 3fbb0edca4..80bf838d2c 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,6 +1,5 @@
-include requirements.txt
+include pyproject.toml
include README.md
include LICENSE
-include src/setuptools_axolotl_dynamic_dependencies.py
include src/axolotl/utils/chat_templates/templates/*.jinja
-recursive-include axolotl *.py
+recursive-include src/axolotl *.py
diff --git a/README.md b/README.md
index 1a033acd98..f3646737ab 100644
--- a/README.md
+++ b/README.md
@@ -65,15 +65,9 @@ Features:
- **Flexible Dataset Handling**: Load from local, HuggingFace, and cloud (S3, Azure, GCP, OCI) datasets.
- **Cloud Ready**: We ship [Docker images](https://hub.docker.com/u/axolotlai) and also [PyPI packages](https://pypi.org/project/axolotl/) for use on cloud platforms and local hardware.
-
-
## 🚀 Quick Start - LLM Fine-tuning in Minutes
-**Requirements**:
-
-- NVIDIA GPU (Ampere or newer for `bf16` and Flash Attention) or AMD GPU
-- Python 3.11
-- PyTorch ≥2.6.0
+**Requirements**: NVIDIA GPU (Ampere+) or AMD GPU, Python 3.11+
### Google Colab
@@ -81,15 +75,35 @@ Features:
### Installation
-#### Using pip
+#### Project setup (uv add)
+
+```bash
+# Install uv
+curl -LsSf https://astral.sh/uv/install.sh | sh
+
+# Initialize or enter your project
+uv init my-project && cd my-project
+uv add axolotl
+uv pip install flash-attn --no-build-isolation
+source .venv/bin/activate
+
+# Download example axolotl configs, deepspeed configs
+axolotl fetch examples
+axolotl fetch deepspeed_configs # optional
+```
+
+#### Quick try (uv pip)
```bash
-pip3 install -U packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation axolotl[flash-attn,deepspeed]
+# Install uv if needed
+curl -LsSf https://astral.sh/uv/install.sh | sh
+
+uv pip install axolotl
+uv pip install flash-attn --no-build-isolation
# Download example axolotl configs, deepspeed configs
axolotl fetch examples
-axolotl fetch deepspeed_configs # OPTIONAL
+axolotl fetch deepspeed_configs # optional
```
#### Using Docker
diff --git a/cicd/Dockerfile-uv.jinja b/cicd/Dockerfile-uv.jinja
deleted file mode 100644
index 8603861879..0000000000
--- a/cicd/Dockerfile-uv.jinja
+++ /dev/null
@@ -1,52 +0,0 @@
-FROM axolotlai/axolotl-base-uv:{{ BASE_TAG }}
-
-ENV TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"
-ENV AXOLOTL_EXTRAS="{{ AXOLOTL_EXTRAS }}"
-ENV AXOLOTL_ARGS="{{ AXOLOTL_ARGS }}"
-ENV CUDA="{{ CUDA }}"
-ENV PYTORCH_VERSION="{{ PYTORCH_VERSION }}"
-ENV GITHUB_REF="{{ GITHUB_REF }}"
-ENV GITHUB_SHA="{{ GITHUB_SHA }}"
-ENV NIGHTLY_BUILD="{{ NIGHTLY_BUILD }}"
-ENV HF_HOME="{{ HF_HOME }}"
-
-RUN apt-get update && \
- apt-get install -y --allow-change-held-packages vim curl nano libnccl2 libnccl-dev ibverbs-providers ibverbs-utils infiniband-diags librdmacm-dev librdmacm1 rdmacm-utils slurm-wlm
-
-WORKDIR /workspace
-
-RUN git clone --depth=1 https://github.com/axolotl-ai-cloud/axolotl.git
-
-WORKDIR /workspace/axolotl
-
-RUN git fetch origin +$GITHUB_REF && \
- git checkout FETCH_HEAD
-
-# If AXOLOTL_EXTRAS is set, append it in brackets
-RUN if [ "$NIGHTLY_BUILD" = "true" ] ; then \
- sed -i 's#^transformers.*#transformers @ git+https://github.com/huggingface/transformers.git@main#' requirements.txt; \
- sed -i 's#^peft.*#peft @ git+https://github.com/huggingface/peft.git@main#' requirements.txt; \
- sed -i 's#^accelerate.*#accelerate @ git+https://github.com/huggingface/accelerate.git@main#' requirements.txt; \
- sed -i 's#^trl.*#trl @ git+https://github.com/huggingface/trl.git@main#' requirements.txt; \
- sed -i 's#^datasets.*#datasets @ git+https://github.com/huggingface/datasets.git@main#' requirements.txt; \
- fi
-
-RUN uv pip install packaging==23.2 setuptools==75.8.0
-RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
- uv pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
- else \
- uv pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
- fi
-
-RUN python scripts/unsloth_install.py --uv | sh
-RUN python scripts/cutcrossentropy_install.py --uv | sh
-
-# So we can test the Docker image
-RUN uv pip install -r requirements-dev.txt -r requirements-tests.txt
-
-# fix so that git fetch/pull from remote works
-RUN git config remote.origin.fetch "+refs/heads/*:refs/remotes/origin/*" && \
- git config --get remote.origin.fetch
-
-# helper for huggingface-login cli
-RUN git config --global credential.helper store
diff --git a/cicd/Dockerfile.jinja b/cicd/Dockerfile.jinja
index 94c9a67e3e..5593534544 100644
--- a/cicd/Dockerfile.jinja
+++ b/cicd/Dockerfile.jinja
@@ -1,6 +1,10 @@
-FROM axolotlai/axolotl-base:{{ BASE_TAG }}
+FROM axolotlai/axolotl-base-uv:{{ BASE_TAG }}
-ENV TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX"
+SHELL ["/bin/bash", "-euxo", "pipefail", "-c"]
+
+ARG VENV_PYTHON="/workspace/axolotl-venv/bin/python"
+
+ENV TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"
ENV AXOLOTL_EXTRAS="{{ AXOLOTL_EXTRAS }}"
ENV AXOLOTL_ARGS="{{ AXOLOTL_ARGS }}"
ENV CUDA="{{ CUDA }}"
@@ -9,7 +13,7 @@ ENV GITHUB_REF="{{ GITHUB_REF }}"
ENV GITHUB_SHA="{{ GITHUB_SHA }}"
ENV NIGHTLY_BUILD="{{ NIGHTLY_BUILD }}"
ENV HF_HOME="{{ HF_HOME }}"
-ENV AXOLOTL_DATASET_PROCESSES="8"
+ENV VENV_PYTHON=$VENV_PYTHON
RUN apt-get update && \
apt-get install -y --allow-change-held-packages vim curl nano libnccl2 libnccl-dev ibverbs-providers ibverbs-utils infiniband-diags librdmacm-dev librdmacm1 rdmacm-utils slurm-wlm
@@ -25,25 +29,27 @@ RUN git fetch origin +$GITHUB_REF && \
# If AXOLOTL_EXTRAS is set, append it in brackets
RUN if [ "$NIGHTLY_BUILD" = "true" ] ; then \
- sed -i 's#^transformers.*#transformers @ git+https://github.com/huggingface/transformers.git@main#' requirements.txt; \
- sed -i 's#^peft.*#peft @ git+https://github.com/huggingface/peft.git@main#' requirements.txt; \
- sed -i 's#^accelerate.*#accelerate @ git+https://github.com/huggingface/accelerate.git@main#' requirements.txt; \
- sed -i 's#^trl.*#trl @ git+https://github.com/huggingface/trl.git@main#' requirements.txt; \
- sed -i 's#^datasets.*#datasets @ git+https://github.com/huggingface/datasets.git@main#' requirements.txt; \
+ sed -i 's#"transformers[^"]*"#"transformers @ git+https://github.com/huggingface/transformers.git@main"#' pyproject.toml; \
+ sed -i 's#"peft[^"]*"#"peft @ git+https://github.com/huggingface/peft.git@main"#' pyproject.toml; \
+ sed -i 's#"accelerate[^"]*"#"accelerate @ git+https://github.com/huggingface/accelerate.git@main"#' pyproject.toml; \
+ sed -i 's#"trl[^"]*"#"trl @ git+https://github.com/huggingface/trl.git@main"#' pyproject.toml; \
+ sed -i 's#"datasets[^"]*"#"datasets @ git+https://github.com/huggingface/datasets.git@main"#' pyproject.toml; \
fi
-RUN pip install packaging==23.2 setuptools==75.8.0
+RUN uv pip install --python "$VENV_PYTHON" packaging==23.2 setuptools==75.8.0 pip
RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
- pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
+ uv pip install --python "$VENV_PYTHON" --no-build-isolation -e .[ring-flash-attn,optimizers,ray,${AXOLOTL_EXTRAS}] $AXOLOTL_ARGS; \
else \
- pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
+ uv pip install --python "$VENV_PYTHON" --no-build-isolation -e .[ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
fi
-RUN python scripts/unsloth_install.py | sh
-RUN python scripts/cutcrossentropy_install.py | sh
+RUN uv pip install --python "$VENV_PYTHON" --no-build-isolation flash-attn $AXOLOTL_ARGS
+
+RUN "$VENV_PYTHON" scripts/unsloth_install.py | sh
+RUN "$VENV_PYTHON" scripts/cutcrossentropy_install.py | sh
# So we can test the Docker image
-RUN pip install -r requirements-dev.txt -r requirements-tests.txt
+RUN uv pip install --python "$VENV_PYTHON" -e ".[dev]"
# fix so that git fetch/pull from remote works
RUN git config remote.origin.fetch "+refs/heads/*:refs/remotes/origin/*" && \
diff --git a/cicd/cicd.sh b/cicd/cicd.sh
index 65ee8699de..5a07e830cf 100755
--- a/cicd/cicd.sh
+++ b/cicd/cicd.sh
@@ -4,7 +4,7 @@ set -e
python -c "import torch; assert '$PYTORCH_VERSION' in torch.__version__"
# Run unit tests with initial coverage report
-pytest -v --durations=10 -n8 \
+uv run pytest -v --durations=10 -n8 \
--ignore=tests/e2e/ \
--ignore=tests/patched/ \
--ignore=tests/cli \
@@ -12,36 +12,36 @@ pytest -v --durations=10 -n8 \
--cov=axolotl
# Run lora kernels tests with coverage append
-pytest -v --durations=10 \
+uv run pytest -v --durations=10 \
/workspace/axolotl/tests/e2e/patched/lora_kernels \
--cov=axolotl \
--cov-append
# Run patched tests excluding lora kernels with coverage append
-pytest --full-trace -vvv --durations=10 \
+uv run pytest --full-trace -vvv --durations=10 \
--ignore=tests/e2e/patched/lora_kernels \
/workspace/axolotl/tests/e2e/patched \
--cov=axolotl \
--cov-append
# Run solo tests with coverage append
-pytest -v --durations=10 -n1 \
+uv run pytest -v --durations=10 -n1 \
/workspace/axolotl/tests/e2e/solo/ \
--cov=axolotl \
--cov-append
# Run integration tests with coverage append
-pytest -v --durations=10 \
+uv run pytest -v --durations=10 \
/workspace/axolotl/tests/e2e/integrations/ \
--cov=axolotl \
--cov-append
-pytest -v --durations=10 /workspace/axolotl/tests/cli \
+uv run pytest -v --durations=10 /workspace/axolotl/tests/cli \
--cov=axolotl \
--cov-append
# Run remaining e2e tests with coverage append and final report
-pytest -v --durations=10 \
+uv run pytest -v --durations=10 \
--ignore=tests/e2e/solo/ \
--ignore=tests/e2e/patched/ \
--ignore=tests/e2e/multigpu/ \
@@ -52,4 +52,4 @@ pytest -v --durations=10 \
--cov-append \
--cov-report=xml:e2e-coverage.xml
-codecov upload-process -t $CODECOV_TOKEN -f e2e-coverage.xml -F e2e,pytorch-${PYTORCH_VERSION} || true
+uv run codecov upload-process -t $CODECOV_TOKEN -f e2e-coverage.xml -F e2e,pytorch-${PYTORCH_VERSION} || true
diff --git a/cicd/multigpu.py b/cicd/multigpu.py
index 5bd8d3c044..450a307f3a 100644
--- a/cicd/multigpu.py
+++ b/cicd/multigpu.py
@@ -23,7 +23,7 @@
"AXOLOTL_EXTRAS": os.environ.get("AXOLOTL_EXTRAS", ""),
"AXOLOTL_ARGS": os.environ.get("AXOLOTL_ARGS", ""),
"PYTORCH_VERSION": os.environ.get("PYTORCH_VERSION", "2.6.0"),
- "BASE_TAG": os.environ.get("BASE_TAG", "main-base-py3.11-cu126-2.6.0"),
+ "BASE_TAG": os.environ.get("BASE_TAG", "main-base-uv-py3.11-cu126-2.6.0"),
"CUDA": os.environ.get("CUDA", "126"),
"GITHUB_REF": os.environ.get("GITHUB_REF", "refs/heads/main"),
"GITHUB_SHA": os.environ.get("GITHUB_SHA", ""),
diff --git a/cicd/single_gpu.py b/cicd/single_gpu.py
index 5a06a34f00..f0d68ec42b 100644
--- a/cicd/single_gpu.py
+++ b/cicd/single_gpu.py
@@ -23,7 +23,7 @@
"AXOLOTL_EXTRAS": os.environ.get("AXOLOTL_EXTRAS", ""),
"AXOLOTL_ARGS": os.environ.get("AXOLOTL_ARGS", ""),
"PYTORCH_VERSION": os.environ.get("PYTORCH_VERSION", "2.6.0"),
- "BASE_TAG": os.environ.get("BASE_TAG", "main-base-py3.11-cu126-2.6.0"),
+ "BASE_TAG": os.environ.get("BASE_TAG", "main-base-uv-py3.11-cu126-2.6.0"),
"CUDA": os.environ.get("CUDA", "126"),
"GITHUB_REF": os.environ.get("GITHUB_REF", "refs/heads/main"),
"GITHUB_SHA": os.environ.get("GITHUB_SHA", ""),
diff --git a/docker/Dockerfile b/docker/Dockerfile
index 116361dcdb..c6e25e1713 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -1,13 +1,19 @@
-ARG BASE_TAG=main-base
-FROM axolotlai/axolotl-base:$BASE_TAG
+ARG BASE_TAG=main-base-uv
+FROM axolotlai/axolotl-base-uv:$BASE_TAG
ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX"
ARG AXOLOTL_EXTRAS=""
ARG AXOLOTL_ARGS=""
ARG CUDA="118"
ARG PYTORCH_VERSION="2.1.2"
+ARG GIT_REF="refs/heads/main"
+ARG GIT_SHA="HEAD"
+ARG VENV_PYTHON="/workspace/axolotl-venv/bin/python"
ENV PYTORCH_VERSION=$PYTORCH_VERSION
+ENV GIT_REF=$GIT_REF
+ENV GIT_SHA=$GIT_SHA
+ENV VENV_PYTHON=$VENV_PYTHON
RUN apt-get update && \
apt-get install -y --allow-change-held-packages vim curl nano libnccl2 libnccl-dev rsync s3fs && \
@@ -20,16 +26,19 @@ RUN git clone --depth=1 https://github.com/axolotl-ai-cloud/axolotl.git
WORKDIR /workspace/axolotl
+# Ensure we are on the expected commit and break Docker cache between revisions
+RUN git fetch origin "$GIT_REF" && git checkout "$GIT_SHA"
+
# If AXOLOTL_EXTRAS is set, append it in brackets
RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
- pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
+ uv pip install --python "$VENV_PYTHON" --no-build-isolation -e .[ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
else \
- pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
+ uv pip install --python "$VENV_PYTHON" --no-build-isolation -e .[ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
fi && \
- python scripts/unsloth_install.py | sh && \
- python scripts/cutcrossentropy_install.py | sh && \
- pip install pytest && \
- pip cache purge
+ uv pip install --python "$VENV_PYTHON" --no-build-isolation flash-attn $AXOLOTL_ARGS && \
+ "$VENV_PYTHON" scripts/unsloth_install.py | sh && \
+ "$VENV_PYTHON" scripts/cutcrossentropy_install.py | sh && \
+ uv pip install --python "$VENV_PYTHON" pytest
# fix so that git fetch/pull from remote works with shallow clone
RUN git config remote.origin.fetch "+refs/heads/*:refs/remotes/origin/*" && \
diff --git a/docker/Dockerfile-base b/docker/Dockerfile-base
index 87918cc414..3d6a4fb16f 100644
--- a/docker/Dockerfile-base
+++ b/docker/Dockerfile-base
@@ -48,5 +48,5 @@ RUN git lfs install --skip-repo && \
pip3 cache purge
RUN if [ "$PYTORCH_VERSION" = "2.6.0" ] && [ "$CUDA" = "124" ] ; then \
- FLASH_ATTENTION_FORCE_BUILD="TRUE" pip3 install --no-build-isolation flash-attn==2.8.0.post2; \
+ FLASH_ATTENTION_FORCE_BUILD="TRUE" uv pip install --no-build-isolation flash-attn==2.8.0.post2; \
fi
diff --git a/docker/Dockerfile-cloud b/docker/Dockerfile-cloud
index 6ab0908261..d5acb7e25f 100644
--- a/docker/Dockerfile-cloud
+++ b/docker/Dockerfile-cloud
@@ -12,8 +12,8 @@ EXPOSE 22
COPY scripts/cloud-entrypoint.sh /root/cloud-entrypoint.sh
COPY scripts/motd /etc/motd
-RUN pip install jupyterlab notebook ipywidgets && \
- jupyter lab clean
+RUN uv pip install --python "$VENV_PYTHON" jupyterlab notebook ipywidgets && \
+ "$VENV_PYTHON" -m jupyter lab clean
RUN apt update && \
apt install --yes --no-install-recommends openssh-server tmux iproute2 nvtop && \
rm -rf /var/cache/apt/archives && \
diff --git a/docker/Dockerfile-cloud-no-tmux b/docker/Dockerfile-cloud-no-tmux
index 594559cfd9..70379ac545 100644
--- a/docker/Dockerfile-cloud-no-tmux
+++ b/docker/Dockerfile-cloud-no-tmux
@@ -12,8 +12,8 @@ EXPOSE 22
COPY scripts/cloud-entrypoint.sh /root/cloud-entrypoint.sh
COPY scripts/motd /etc/motd
-RUN pip install jupyterlab notebook ipywidgets && \
- jupyter lab clean
+RUN uv pip install --python "$VENV_PYTHON" jupyterlab notebook ipywidgets && \
+ "$VENV_PYTHON" -m jupyter lab clean
RUN apt update && \
apt install --yes --no-install-recommends openssh-server tmux iproute2 nvtop ibverbs-providers ibverbs-utils infiniband-diags librdmacm-dev librdmacm1 rdmacm-utils slurm-wlm && \
rm -rf /var/cache/apt/archives && \
diff --git a/docker/Dockerfile-tests b/docker/Dockerfile-tests
index 8d97343597..36dd159d64 100644
--- a/docker/Dockerfile-tests
+++ b/docker/Dockerfile-tests
@@ -24,13 +24,14 @@ RUN git fetch origin +$GITHUB_REF && \
# If AXOLOTL_EXTRAS is set, append it in brackets
RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
- pip install --no-build-isolation -e .[deepspeed,flash-attn,mamba-ssm,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
+ uv pip install --no-build-isolation -e .[deepspeed,mamba-ssm,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
else \
- pip install --no-build-isolation -e .[deepspeed,flash-attn,mamba-ssm] $AXOLOTL_ARGS; \
- fi
+ uv pip install --no-build-isolation -e .[deepspeed,mamba-ssm] $AXOLOTL_ARGS; \
+ fi && \
+ uv pip install --no-build-isolation flash-attn $AXOLOTL_ARGS
# So we can test the Docker image
-RUN pip install pytest
+RUN uv pip install pytest
# fix so that git fetch/pull from remote works
RUN git config remote.origin.fetch "+refs/heads/*:refs/remotes/origin/*" && \
diff --git a/docker/Dockerfile-uv-base b/docker/Dockerfile-uv-base
index 4b08e55f8e..26bf6a7723 100644
--- a/docker/Dockerfile-uv-base
+++ b/docker/Dockerfile-uv-base
@@ -13,6 +13,7 @@ ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"
ENV PYTHON_VERSION=$PYTHON_VERSION
ENV TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST
ENV UV_TORCH_BACKEND="cu${CUDA}"
+ENV VENV_PYTHON=/workspace/axolotl-venv/bin/python
RUN apt-get update \
&& apt-get install -y wget git build-essential ninja-build git-lfs libaio-dev pkg-config curl && rm -rf /var/lib/apt/lists/* \
@@ -29,8 +30,8 @@ RUN uv venv --no-project --relocatable axolotl-venv
ENV PATH="/workspace/axolotl-venv/bin:${PATH}"
-RUN uv pip install packaging setuptools wheel psutil \
- && uv pip install torch==${PYTORCH_VERSION} \
- && uv pip install --no-build-isolation "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" \
- && uv pip install "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main" \
- && uv pip install awscli pydantic
+RUN uv pip install --python "$VENV_PYTHON" packaging setuptools wheel psutil protobuf grpclib \
+ && uv pip install --python "$VENV_PYTHON" torch==${PYTORCH_VERSION} \
+ && uv pip install --python "$VENV_PYTHON" --no-build-isolation "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" \
+ && uv pip install --python "$VENV_PYTHON" "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main" \
+ && uv pip install --python "$VENV_PYTHON" awscli pydantic
diff --git a/docs/debugging.qmd b/docs/debugging.qmd
index bf3c6fe7e8..aff339b3ff 100644
--- a/docs/debugging.qmd
+++ b/docs/debugging.qmd
@@ -72,8 +72,8 @@ datasets:
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:
```bash
-pip3 install packaging
-pip3 install --no-build-isolation -e '.[flash-attn,deepspeed]'
+uv sync --extra deepspeed
+uv pip install flash-attn --no-build-isolation
```
#### Remote Hosts
@@ -213,8 +213,8 @@ docker run --privileged --gpus '"all"' --shm-size 10g --rm -it --name axolotl --
You will now be in the container. Next, perform an editable install of Axolotl:
```bash
-pip3 install packaging
-pip3 install --no-build-isolation -e '.[flash-attn,deepspeed]'
+uv sync --extra deepspeed
+uv pip install flash-attn --no-build-isolation
```
### Attach To Container
diff --git a/docs/installation.qmd b/docs/installation.qmd
index 265ff238c1..4d635ddeb0 100644
--- a/docs/installation.qmd
+++ b/docs/installation.qmd
@@ -29,19 +29,40 @@ Follow the instructions at: [https://pytorch.org/get-started/locally/](https://p
For Blackwell GPUs, please use Pytorch 2.7.0 and CUDA 12.8.
:::
-### PyPI Installation (Recommended) {#sec-pypi}
+### uv Installation (Recommended) {#sec-uv-quick}
```{.bash}
-pip3 install -U packaging setuptools wheel ninja
-pip3 install --no-build-isolation axolotl[flash-attn,deepspeed]
+# Install uv if not already installed
+curl -LsSf https://astral.sh/uv/install.sh | sh
+
+# Add Axolotl to a project (recommended)
+uv init my-project && cd my-project
+uv add axolotl
+uv pip install flash-attn --no-build-isolation
+source .venv/bin/activate
+```
+
+For a quick one-off install without creating a project:
+
+```{.bash}
+uv pip install axolotl
+uv pip install flash-attn --no-build-isolation
+```
+
+### pip Installation {#sec-pypi}
+
+```{.bash}
+pip install --no-build-isolation axolotl[deepspeed]
+pip install --no-build-isolation flash-attn
```
We use `--no-build-isolation` in order to detect the installed PyTorch version (if
installed) in order not to clobber it, and so that we set the correct version of
dependencies that are specific to the PyTorch version or other installed
-co-dependencies.
+co-dependencies. Flash Attention is resolved separately so it can be built against
+the environment configured by the previous step.
-### uv Installation {#sec-uv}
+### Advanced uv Installation {#sec-uv}
uv is a fast, reliable Python package installer and resolver built in Rust. It offers significant performance improvements over pip and provides better dependency resolution, making it an excellent choice for complex environments.
@@ -62,28 +83,38 @@ source .venv/bin/activate
Install PyTorch
- PyTorch 2.6.0 recommended
```{.bash}
-uv pip install packaging setuptools wheel
uv pip install torch==2.6.0
uv pip install awscli pydantic
```
Install axolotl from PyPi
```{.bash}
-uv pip install --no-build-isolation axolotl[deepspeed,flash-attn]
-
+uv pip install --no-build-isolation axolotl[deepspeed]
# optionally install with vLLM if you're using torch==2.6.0 and want to train w/ GRPO
-uv pip install --no-build-isolation axolotl[deepspeed,flash-attn,vllm]
+# uv pip install --no-build-isolation axolotl[deepspeed,vllm]
+
+uv pip install flash-attn --no-build-isolation
```
### Edge/Development Build {#sec-edge-build}
For the latest features between releases:
+#### Using uv (recommended)
+```{.bash}
+git clone https://github.com/axolotl-ai-cloud/axolotl.git
+cd axolotl
+curl -LsSf https://astral.sh/uv/install.sh | sh # If not already installed
+uv sync
+uv pip install flash-attn --no-build-isolation
+```
+
+#### Using pip
```{.bash}
git clone https://github.com/axolotl-ai-cloud/axolotl.git
cd axolotl
-pip3 install -U packaging setuptools wheel ninja
-pip3 install --no-build-isolation -e '.[flash-attn,deepspeed]'
+pip install --no-build-isolation -e '.[deepspeed]'
+pip install --no-build-isolation flash-attn
```
### Docker {#sec-docker}
@@ -141,7 +172,7 @@ For providers supporting Docker:
### macOS {#sec-macos}
```{.bash}
-pip3 install --no-build-isolation -e '.'
+uv pip install --no-build-isolation -e '.'
```
See @sec-troubleshooting for Mac-specific issues.
@@ -159,10 +190,15 @@ We recommend using WSL2 (Windows Subsystem for Linux) or Docker.
1. Install Python ≥3.11
2. Install PyTorch: https://pytorch.org/get-started/locally/
3. Install Axolotl:
- ```{.bash}
- pip3 install -U packaging setuptools wheel ninja
- pip3 install --no-build-isolation -e '.[flash-attn,deepspeed]'
- ```
+```{.bash}
+# Option A: add Axolotl to the environment
+uv add axolotl
+uv pip install flash-attn --no-build-isolation
+
+# Option B: quick install
+uv pip install axolotl
+uv pip install flash-attn --no-build-isolation
+```
4. (Optional) Login to Hugging Face:
```{.bash}
huggingface-cli login
diff --git a/docs/multimodal.qmd b/docs/multimodal.qmd
index 3a28b579a1..9c87dac831 100644
--- a/docs/multimodal.qmd
+++ b/docs/multimodal.qmd
@@ -95,7 +95,7 @@ chat_template: llava
### Mistral-Small-3.1 {#sec-mistral-small-31}
::: {.callout-tip}
-Please make sure to install vision lib via `pip install 'mistral-common[opencv]==1.8.5'`
+Please make sure to install vision lib via `uv pip install 'mistral-common[opencv]==1.8.5'`
:::
```yaml
@@ -105,7 +105,7 @@ base_model: mistralai/Mistral-Small-3.1-24B-Instruct-2503
### Magistral-Small-2509 {#sec-magistral-small-2509}
::: {.callout-tip}
-Please make sure to install vision lib via `pip install 'mistral-common[opencv]==1.8.5'`
+Please make sure to install vision lib via `uv pip install 'mistral-common[opencv]==1.8.5'`
:::
```yaml
@@ -115,7 +115,7 @@ base_model: mistralai/Magistral-Small-2509
### Voxtral {#sec-voxtral}
::: {.callout-tip}
-Please make sure to install audio lib via `pip3 install librosa==0.11.0 'mistral_common[audio]==1.8.3'`
+Please make sure to install audio lib via `uv pip install librosa==0.11.0 'mistral_common[audio]==1.8.3'`
:::
```yaml
@@ -143,7 +143,7 @@ The model's initial loss and grad norm will be very high. We suspect this to be
:::
::: {.callout-tip}
-Please make sure to install `timm` via `pip3 install timm==1.0.17`
+Please make sure to install `timm` via `uv pip install timm==1.0.17`
:::
```yaml
@@ -171,7 +171,7 @@ chat_template: qwen2_vl # same as qwen2-vl
### SmolVLM2 {#sec-smolvlm2}
::: {.callout-tip}
-Please make sure to install `num2words` via `pip3 install num2words==0.5.14`
+Please make sure to install `num2words` via `uv pip install num2words==0.5.14`
:::
```yaml
@@ -181,7 +181,7 @@ base_model: HuggingFaceTB/SmolVLM2-500M-Video-Instruct
### LFM2-VL {#sec-lfm2-vl}
::: {.callout-warning}
-Please uninstall `causal-conv1d` via `pip3 uninstall -y causal-conv1d`
+Please uninstall `causal-conv1d` via `uv pip uninstall -y causal-conv1d`
:::
```yaml
@@ -222,7 +222,7 @@ For audio loading, you can use the following keys within `content` alongside `"t
::: {.callout-tip}
-You may need to install `librosa` via `pip3 install librosa==0.11.0`.
+You may need to install `librosa` via `uv pip install librosa==0.11.0`.
:::
diff --git a/docs/sequence_parallelism.qmd b/docs/sequence_parallelism.qmd
index d1933a145e..8db51c1e18 100644
--- a/docs/sequence_parallelism.qmd
+++ b/docs/sequence_parallelism.qmd
@@ -49,9 +49,9 @@ When sequence parallelism is enabled:
To use sequence parallelism, you need:
- Multiple GPUs (at least 2)
-- The `ring-flash-attn` package. Install with:
- - `pip install axolotl[ring-flash-attn]` (preferred)
- - `pip install ring-flash-attn>=0.1.4`
+- The `ring-flash-attn` package. Install with either `uv sync --extra ring-flash-attn`
+ (from a cloned repository) or `uv pip install ring-flash-attn>=0.1.4`.
+- Flash Attention installed separately with `uv pip install flash-attn --no-build-isolation`.
## Limitations
diff --git a/examples/LiquidAI/README.md b/examples/LiquidAI/README.md
index 96fc74a92b..4cdce8a56b 100644
--- a/examples/LiquidAI/README.md
+++ b/examples/LiquidAI/README.md
@@ -12,9 +12,14 @@ This guide shows how to fine-tune both the LFM2 and LFM2-VL models with Axolotl.
Here is an example of how to install from pip:
```bash
- # Ensure you have a compatible version of Pytorch installed
- pip3 install packaging setuptools wheel ninja
- pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+ # Ensure you have a compatible version of PyTorch installed
+ # Option A: manage dependencies in your project
+ uv add 'axolotl>=0.12.0'
+ uv pip install flash-attn --no-build-isolation
+
+ # Option B: quick install
+ uv pip install 'axolotl>=0.12.0'
+ uv pip install flash-attn --no-build-isolation
```
2. Run one of the finetuning examples below.
@@ -35,7 +40,7 @@ This guide shows how to fine-tune both the LFM2 and LFM2-VL models with Axolotl.
- **Installation Error**: If you encounter `ImportError: ... undefined symbol ...` or `ModuleNotFoundError: No module named 'causal_conv1d_cuda'`, the `causal-conv1d` package may have been installed incorrectly. Try uninstalling it:
```bash
- pip uninstall -y causal-conv1d
+ uv pip uninstall -y causal-conv1d
```
- **Dataset Loading**: Read more on how to load your own dataset in our [documentation](https://docs.axolotl.ai/docs/dataset_loading.html).
diff --git a/examples/apertus/README.md b/examples/apertus/README.md
index 774286333a..236aacdb9a 100644
--- a/examples/apertus/README.md
+++ b/examples/apertus/README.md
@@ -15,8 +15,8 @@ This guide shows how to fine-tune it with Axolotl with multi-turn conversations
git clone https://github.com/axolotl-ai-cloud/axolotl.git
cd axolotl
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation -e '.[flash-attn]'
+uv sync
+uv pip install flash-attn --no-build-isolation
# Install CCE https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy
python scripts/cutcrossentropy_install.py | sh
@@ -31,7 +31,7 @@ python scripts/cutcrossentropy_install.py | sh
# For those using our Docker image, use the below path.
export CUDA_HOME=/usr/local/cuda
-pip3 install git+https://github.com/nickjbrowning/XIELU@59d6031 --no-build-isolation --no-deps
+uv pip install git+https://github.com/nickjbrowning/XIELU@59d6031 --no-build-isolation --no-deps
```
For any installation errors, see [XIELU Installation Issues](#xielu-installation-issues)
@@ -67,7 +67,7 @@ If those didn't help, please try the below solutions:
1. Pass env for CMAKE and try install again:
```bash
- Python_EXECUTABLE=$(which python) pip3 install git+https://github.com/nickjbrowning/XIELU@59d6031 --no-build-isolation --no-deps
+ Python_EXECUTABLE=$(which python) uv pip install git+https://github.com/nickjbrowning/XIELU@59d6031 --no-build-isolation --no-deps
```
2. Git clone the repo and manually hardcode python path:
@@ -92,7 +92,7 @@ If those didn't help, please try the below solutions:
```
```bash
- pip3 install . --no-build-isolation --no-deps
+ uv pip install . --no-build-isolation --no-deps
```
## Optimization Guides
diff --git a/examples/arcee/README.md b/examples/arcee/README.md
index 23f63663e7..358255da7e 100644
--- a/examples/arcee/README.md
+++ b/examples/arcee/README.md
@@ -17,8 +17,8 @@ Thanks to the team at Arcee.ai for using Axolotl in supervised fine-tuning the A
git clone https://github.com/axolotl-ai-cloud/axolotl.git
cd axolotl
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation -e '.[flash-attn]'
+uv sync
+uv pip install flash-attn --no-build-isolation
# Install CCE https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy
python scripts/cutcrossentropy_install.py | sh
diff --git a/examples/colab-notebooks/colab-axolotl-example.ipynb b/examples/colab-notebooks/colab-axolotl-example.ipynb
index 9e18757f6e..91b942cf8f 100644
--- a/examples/colab-notebooks/colab-axolotl-example.ipynb
+++ b/examples/colab-notebooks/colab-axolotl-example.ipynb
@@ -12,10 +12,10 @@
"\n",
"Axolotl is the most performant LLM post-training framework available, delivering faster training with efficient, consistent and stable performance. Train your workload and ship your product 30% faster; saving you both time and money.\n",
"\n",
- "- ⭐ us on [GitHub](https://github.com/axolotl-ai-cloud/axolotl)\n",
- "- 📜 Read the [Docs](http://docs.axolotl.ai/)\n",
- "- 💬 Chat with us on [Discord](https://discord.gg/mnpEYgRUmD)\n",
- "- 📰 Get updates on [X/Twitter](https://x.com/axolotl_ai)\n"
+ "- \u2b50 us on [GitHub](https://github.com/axolotl-ai-cloud/axolotl)\n",
+ "- \ud83d\udcdc Read the [Docs](http://docs.axolotl.ai/)\n",
+ "- \ud83d\udcac Chat with us on [Discord](https://discord.gg/mnpEYgRUmD)\n",
+ "- \ud83d\udcf0 Get updates on [X/Twitter](https://x.com/axolotl_ai)\n"
]
},
{
@@ -39,8 +39,8 @@
"source": [
"%%capture\n",
"# This step can take ~5-10 minutes to install dependencies\n",
- "!pip install --no-build-isolation axolotl[flash-attn]>=0.9.1\n",
- "!pip install \"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@147ea28\""
+ "!uv pip install --no-build-isolation axolotl>=0.9.1\n!uv pip install flash-attn --no-build-isolation\n",
+ "!uv pip install \"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@147ea28\""
]
},
{
@@ -1371,7 +1371,7 @@
"version_minor": 0
},
"text/plain": [
- "VBox(children=(HTML(value=' Pro Tip: If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks. "
}
@@ -1938,9 +1938,9 @@
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_bfcdbba993b74972a9e3e575f86908ff",
- "placeholder": "",
+ "placeholder": "\u200b",
"style": "IPY_MODEL_6ebb2ec171414e47a14765505f64bb3c",
- "value": " 3.84G/3.84G [00:09<00:00, 664MB/s]"
+ "value": "\u20073.84G/3.84G\u2007[00:09<00:00,\u2007664MB/s]"
}
},
"0e936d9dbf9c4fdd86bbfe9730dedc47": {
@@ -2296,9 +2296,9 @@
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"description_tooltip": null,
"layout": "IPY_MODEL_349eee9f56d64f0cba6fc24ff2c50c9b",
- "placeholder": "",
+ "placeholder": "\u200b",
"style": "IPY_MODEL_7e5d3774060e4589aa65982da5ea4ef4",
- "value": " 9985/9985 [00:04<00:00, 2604.11 examples/s]"
+ "value": "\u20079985/9985\u2007[00:04<00:00,\u20072604.11\u2007examples/s]"
}
},
"16d1283741404b7bb319094c992fce01": {
@@ -2317,9 +2317,9 @@
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"description_tooltip": null,
"layout": "IPY_MODEL_a4e5789584564049b83df7c6c54a3e08",
- "placeholder": "",
+ "placeholder": "\u200b",
"style": "IPY_MODEL_ff3a94b146a948b6907f5d80c7157f99",
- "value": " 9985/0 [00:00<00:00, 50763.46 examples/s]"
+ "value": "\u20079985/0\u2007[00:00<00:00,\u200750763.46\u2007examples/s]"
}
},
"1811cda0644e4190a9469d1774435d82": {
@@ -2390,9 +2390,9 @@
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"description_tooltip": null,
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- "placeholder": "",
+ "placeholder": "\u200b",
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- "value": "model-00008-of-00008.safetensors: 100%"
+ "value": "model-00008-of-00008.safetensors:\u2007100%"
}
},
"19127c7bb1554ccbac877059f9a82db0": {
@@ -2561,9 +2561,9 @@
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"description_tooltip": null,
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- "placeholder": "",
+ "placeholder": "\u200b",
"style": "IPY_MODEL_a6f48410b9964fefba0c3009a77dc838",
- "value": " 9.68k/9.68k [00:00<00:00, 812kB/s]"
+ "value": "\u20079.68k/9.68k\u2007[00:00<00:00,\u2007812kB/s]"
}
},
"1f7d30f71bbd4547a9150d21da071055": {
@@ -2634,9 +2634,9 @@
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+ "value": "model-00002-of-00008.safetensors:\u2007100%"
}
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"20352e5f58d24bb8b1f3940efd14fe4a": {
@@ -2707,9 +2707,9 @@
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- "placeholder": "",
+ "placeholder": "\u200b",
"style": "IPY_MODEL_e6e969610738449887259063967f82b0",
- "value": " 2.78M/2.78M [00:00<00:00, 17.8MB/s]"
+ "value": "\u20072.78M/2.78M\u2007[00:00<00:00,\u200717.8MB/s]"
}
},
"258b7c635c1045329d4669e48c46ccd5": {
@@ -3056,9 +3056,9 @@
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"description_tooltip": null,
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+ "value": "model-00005-of-00008.safetensors:\u2007100%"
}
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"3036608c71904ce9ae4bb2a9fa8802d9": {
@@ -3077,9 +3077,9 @@
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+ "placeholder": "\u200b",
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diff --git a/examples/devstral/README.md b/examples/devstral/README.md
index ae08606628..67e27dab23 100644
--- a/examples/devstral/README.md
+++ b/examples/devstral/README.md
@@ -16,8 +16,13 @@ Thanks to the team at MistralAI for giving us early access to prepare for this r
```bash
# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+# Option A: manage dependencies in your project
+uv add 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
+
+# Option B: quick install
+uv pip install 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
```
2. Install [Cut Cross Entropy](https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy) to reduce training VRAM usage
diff --git a/examples/gemma3n/README.md b/examples/gemma3n/README.md
index ff3946c906..e8423b3af9 100644
--- a/examples/gemma3n/README.md
+++ b/examples/gemma3n/README.md
@@ -10,17 +10,22 @@ Gemma-3n is a family of multimodal models from Google found on [HuggingFace](htt
```bash
# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+# Option A: manage dependencies in your project
+uv add 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
+
+# Option B: quick install
+uv pip install 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
```
2. In addition to Axolotl's requirements, Gemma-3n requires:
```bash
-pip3 install timm==1.0.17
+uv pip install timm==1.0.17
# for loading audio data
-pip3 install librosa==0.11.0
+uv pip install librosa==0.11.0
```
3. Download sample dataset files
diff --git a/examples/gpt-oss/README.md b/examples/gpt-oss/README.md
index fb6c67498a..11a2c2ef2b 100644
--- a/examples/gpt-oss/README.md
+++ b/examples/gpt-oss/README.md
@@ -12,8 +12,13 @@ This guide shows how to fine-tune it with Axolotl with multi-turn conversations
```bash
# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+# Option A: manage dependencies in your project
+uv add 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
+
+# Option B: quick install
+uv pip install 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
```
2. Choose one of the following configs below for training the 20B model. (for 120B, see [below](#training-120b))
@@ -75,7 +80,7 @@ for more information about using a special vllm-openai docker image for inferenc
Optionally, vLLM can be installed from nightly:
```bash
-pip install --no-build-isolation --pre -U vllm --extra-index-url https://wheels.vllm.ai/nightly
+uv pip install --no-build-isolation --pre -U vllm --extra-index-url https://wheels.vllm.ai/nightly
```
and the vLLM server can be started with the following command (modify `--tensor-parallel-size 8` to match your environment):
```bash
diff --git a/examples/hunyuan/README.md b/examples/hunyuan/README.md
index 96c6bbcfa8..c92a1099d6 100644
--- a/examples/hunyuan/README.md
+++ b/examples/hunyuan/README.md
@@ -13,8 +13,8 @@ Tencent released a family of opensource models called HunYuan with varying param
git clone https://github.com/axolotl-ai-cloud/axolotl.git
cd axolotl
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation -e '.[flash-attn]'
+uv sync
+uv pip install flash-attn --no-build-isolation
# Install CCE https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy
python scripts/cutcrossentropy_install.py | sh
diff --git a/examples/magistral/README.md b/examples/magistral/README.md
index a09138744a..53c60b9c96 100644
--- a/examples/magistral/README.md
+++ b/examples/magistral/README.md
@@ -13,9 +13,14 @@ Thanks to the team at MistralAI for giving us early access to prepare for these
Here is an example of how to install from pip:
```bash
-# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+# Ensure you have PyTorch installed (PyTorch 2.6.0 min)
+# Option A: manage dependencies in your project
+uv add 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
+
+# Option B: quick install
+uv pip install 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
```
2. Install [Cut Cross Entropy](https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy) to reduce training VRAM usage
diff --git a/examples/qwen3-next/README.md b/examples/qwen3-next/README.md
index 678175fd40..b64b5204b3 100644
--- a/examples/qwen3-next/README.md
+++ b/examples/qwen3-next/README.md
@@ -15,8 +15,8 @@ This guide shows how to fine-tune it with Axolotl with multi-turn conversations
git clone https://github.com/axolotl-ai-cloud/axolotl.git
cd axolotl
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation -e '.[flash-attn]'
+uv sync
+uv pip install flash-attn --no-build-isolation
# Install CCE https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy
python scripts/cutcrossentropy_install.py | sh
@@ -24,12 +24,12 @@ python scripts/cutcrossentropy_install.py | sh
2. Install Qwen3-Next transformers commit
```bash
-pip3 uninstall -y transformers && pip3 install "git+https://github.com/huggingface/transformers.git@b9282355bea846b54ed850a066901496b19da654"
+uv pip uninstall -y transformers && uv pip install "git+https://github.com/huggingface/transformers.git@b9282355bea846b54ed850a066901496b19da654"
```
3. Install FLA for improved performance
```bash
-pip3 uninstall -y causal-conv1d && pip3 install flash-linear-attention==0.3.2
+uv pip uninstall -y causal-conv1d && uv pip install flash-linear-attention==0.3.2
```
4. Run the finetuning example:
diff --git a/examples/seed-oss/README.md b/examples/seed-oss/README.md
index 5610c1316b..2fd94dc2ea 100644
--- a/examples/seed-oss/README.md
+++ b/examples/seed-oss/README.md
@@ -15,8 +15,8 @@ This guide shows how to fine-tune it with Axolotl with multi-turn conversations
git clone https://github.com/axolotl-ai-cloud/axolotl.git
cd axolotl
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation -e '.[flash-attn]'
+uv sync --extra deepspeed
+uv pip install flash-attn --no-build-isolation
# Install Cut Cross Entropy
python scripts/cutcrossentropy_install.py | sh
diff --git a/examples/smolvlm2/README.md b/examples/smolvlm2/README.md
index 9c0ae4836d..7ef29981de 100644
--- a/examples/smolvlm2/README.md
+++ b/examples/smolvlm2/README.md
@@ -13,14 +13,19 @@ This guide shows how to fine-tune SmolVLM2 models with Axolotl.
Here is an example of how to install from pip:
```bash
# Ensure you have a compatible version of Pytorch installed
- pip3 install packaging setuptools wheel ninja
- pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+ # Option A: manage dependencies in your project
+ uv add 'axolotl>=0.12.0'
+ uv pip install flash-attn --no-build-isolation
+
+ # Option B: quick install
+ uv pip install 'axolotl>=0.12.0'
+ uv pip install flash-attn --no-build-isolation
```
2. Install an extra dependency:
```bash
- pip3 install num2words==0.5.14
+ uv pip install num2words==0.5.14
```
3. Run the finetuning example:
diff --git a/examples/voxtral/README.md b/examples/voxtral/README.md
index b77691d72b..9f70277eb9 100644
--- a/examples/voxtral/README.md
+++ b/examples/voxtral/README.md
@@ -12,16 +12,21 @@ Thanks to the team at MistralAI for giving us early access to prepare for this r
```bash
# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+# Option A: manage dependencies in your project
+uv add 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
+
+# Option B: quick install
+uv pip install 'axolotl>=0.12.0'
+uv pip install flash-attn --no-build-isolation
```
2. Please install the below.
```bash
# audio
-pip3 install librosa==0.11.0
-pip3 install 'mistral_common[audio]==1.8.3'
+uv pip install librosa==0.11.0
+uv pip install 'mistral_common[audio]==1.8.3'
# Install CCE https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy
python scripts/cutcrossentropy_install.py | sh
diff --git a/pyproject.toml b/pyproject.toml
index 4213bc9633..62a7a51889 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,14 +1,131 @@
[build-system]
-requires = ["setuptools>=64", "wheel", "setuptools_scm>=8", "packaging==23.2"]
+requires = ["setuptools>=64", "wheel", "setuptools_scm>=8"]
build-backend = "setuptools.build_meta"
[project]
name = "axolotl"
-dynamic = ["version", "dependencies", "optional-dependencies"]
+dynamic = ["version"]
description = "LLM Trainer"
readme = "README.md"
-requires-python = ">=3.10"
-# license = "Apache-2.0"
+requires-python = ">=3.10,<3.13"
+license = {text = "Apache-2.0"}
+authors = [
+ {name = "Axolotl AI"},
+]
+maintainers = [
+ {name = "Axolotl AI"},
+]
+classifiers = [
+ "Development Status :: 4 - Beta",
+ "License :: OSI Approved :: Apache Software License",
+ "Programming Language :: Python :: 3",
+ "Programming Language :: Python :: 3.10",
+ "Programming Language :: Python :: 3.11",
+ "Programming Language :: Python :: 3.12",
+]
+
+dependencies = [
+ "torch>=2.6.0",
+ "packaging>=23.2",
+ "huggingface_hub>=0.33.0",
+ "peft==0.17.0",
+ "transformers==4.56.1",
+ "tokenizers>=0.21.1",
+ "accelerate==1.10.1",
+ "datasets==4.0.0",
+ "trl==0.23.0",
+ "hf_xet==1.1.5",
+ "kernels==0.9.0",
+ "trackio",
+ "optimum==1.16.2",
+ "hf_transfer",
+ "sentencepiece",
+ "gradio==5.41.1",
+ "modal==1.0.2",
+ "pydantic>=2.10.6",
+ "addict",
+ "fire",
+ "PyYAML>=6.0",
+ "requests",
+ "wandb",
+ "einops",
+ "colorama",
+ "numba",
+ "numpy>=1.24.4,<3.0",
+ "evaluate==0.4.1",
+ "scipy",
+ "scikit-learn>=1.7.0",
+ "nvidia-ml-py==12.560.30",
+ "art",
+ "tensorboard",
+ "python-dotenv==1.0.1",
+ "s3fs>=2024.5.0",
+ "gcsfs>=2024.5.0",
+ "adlfs>=2024.5.0",
+ "ocifs==1.3.2",
+ "zstandard>=0.23.0",
+ "fastcore",
+ "lm_eval==0.4.7",
+ "langdetect==1.0.9",
+ "immutabledict==4.2.0",
+ "antlr4-python3-runtime==4.13.2",
+ "schedulefree==1.4.1",
+ "mistral-common==1.8.5",
+
+ # Axolotl contribs
+ "axolotl-contribs-lgpl @ git+https://github.com/axolotl-ai-cloud/axolotl-contribs-lgpl.git@numpy",
+ "axolotl-contribs-mit==0.0.5",
+
+ # Platform-specific dependencies (Linux by default, excluded on macOS)
+ "triton>=3.0.0 ; sys_platform != 'darwin'",
+ "xformers>=0.0.28 ; sys_platform != 'darwin'",
+ "autoawq==0.2.7.post3 ; sys_platform != 'darwin'",
+ "liger-kernel==0.6.1 ; sys_platform != 'darwin'",
+ "torchao==0.13.0 ; sys_platform != 'darwin'",
+ "bitsandbytes==0.47.0 ; sys_platform != 'darwin'",
+ "deepspeed>=0.17.5 ; sys_platform != 'darwin'",
+ "deepspeed-kernels ; sys_platform != 'darwin'",
+]
+
+[project.optional-dependencies]
+ring-flash-attn = [
+ "ring-flash-attn>=0.1.7",
+ "yunchang==0.6.0",
+]
+mamba-ssm = ["mamba-ssm>=2.2.0", "causal_conv1d>=1.4.0",]
+gptqmodel = ["gptqmodel>=4.0.0"]
+mlflow = ["mlflow"]
+galore = ["galore_torch"]
+apollo = ["apollo-torch"]
+optimizers = [
+ "galore_torch",
+ "apollo-torch",
+ "lomo-optim==0.1.1",
+ "torch-optimi==0.2.1",
+ "came_pytorch==0.1.3",
+]
+ray = ["ray[train]"]
+vllm = ["vllm>=0.10.0"]
+llmcompressor = ["llmcompressor>=0.5.1"]
+fbgemm-gpu = ["fbgemm-gpu-genai>=1.2.0"]
+dev = [
+ "pytest",
+ "pytest-cov",
+ "pytest-retry",
+ "pytest-sugar",
+ "pytest-xdist",
+ "codecov",
+ "codecov-cli",
+ "tbparse",
+ "ruff",
+ "mypy",
+ "pre-commit",
+ "types-requests",
+ "quartodoc",
+ "jupyter",
+ "blobfile",
+ "tiktoken",
+]
[project.scripts]
axolotl = "axolotl.cli.main:main"
@@ -17,15 +134,20 @@ axolotl = "axolotl.cli.main:main"
Homepage = "https://axolotl.ai/"
Documentation = "https://docs.axolotl.ai/"
Repository = "https://github.com/axolotl-ai-cloud/axolotl.git"
-
-[tool.setuptools_scm]
+Issues = "https://github.com/axolotl-ai-cloud/axolotl/issues"
[tool.setuptools]
-py-modules = ["setuptools_axolotl_dynamic_dependencies"]
+package-dir = {"" = "src"}
include-package-data = true
-[tool.setuptools.cmdclass]
-build_py = "setuptools_axolotl_dynamic_dependencies.BuildPyCommand"
+[tool.setuptools.packages.find]
+where = ["src"]
+
+[tool.setuptools.package-data]
+"*" = ["*.yaml", "*.yml", "*.json"]
+
+[tool.setuptools_scm]
+write_to = "src/axolotl/_version.py"
[tool.ruff]
line-length = 88
@@ -57,3 +179,60 @@ indent-style = "space"
skip-magic-trailing-comma = false
line-ending = "auto"
docstring-code-format = false
+
+[tool.mypy]
+python_version = "3.11"
+warn_return_any = true
+warn_unused_configs = true
+ignore_missing_imports = true
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+python_files = ["test_*.py", "*_test.py"]
+addopts = "-v --tb=short"
+
+# UV specific configuration
+[tool.uv]
+prerelease = "allow"
+default-groups = ["default"]
+conflicts = [
+ [
+ { group = "default" },
+ { extra = "vllm" },
+ ],
+]
+
+[dependency-groups]
+default = ["torch>=2.6.0"]
+dev = [
+ "pytest",
+ "pytest-cov",
+ "pytest-retry",
+ "pytest-sugar",
+ "pytest-xdist",
+ "codecov",
+ "codecov-cli",
+ "tbparse",
+ "ruff",
+ "mypy",
+ "pre-commit",
+ "types-requests",
+ "quartodoc",
+ "jupyter",
+ "blobfile",
+ "tiktoken",
+]
+
+[[tool.uv.index]]
+name = "autogptq"
+url = "https://huggingface.github.io/autogptq-index/whl/"
+
+[tool.uv.extra-build-dependencies]
+mamba-ssm = ["torch", "causal_conv1d"]
+gptqmodel = [
+ { requirement = "torch", match-runtime = true },
+]
+autoawq = ["torch"]
+triton = ["torch"]
+bitsandbytes = ["torch"]
+grpclib = ["wheel"]
diff --git a/requirements-dev.txt b/requirements-dev.txt
deleted file mode 100644
index 5c42d96d4f..0000000000
--- a/requirements-dev.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-black
-mypy
-pre-commit
-types-requests
-quartodoc
-jupyter
-blobfile
-tiktoken
diff --git a/requirements-tests.txt b/requirements-tests.txt
deleted file mode 100644
index 93b2ceee59..0000000000
--- a/requirements-tests.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-codecov
-codecov-cli
-pytest
-pytest-cov
-pytest-retry
-pytest-sugar
-pytest-xdist
-tbparse
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 86013374f9..0000000000
--- a/requirements.txt
+++ /dev/null
@@ -1,73 +0,0 @@
---extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/
-
-# START section of dependencies that don't install on Darwin/MacOS
-bitsandbytes==0.47.0
-triton>=3.0.0
-mamba-ssm==1.2.0.post1
-xformers>=0.0.23.post1
-autoawq==0.2.7.post3
-liger-kernel==0.6.1
-# END section
-
-packaging==23.2
-
-huggingface_hub>=0.33.0
-peft>=0.17.0
-transformers==4.56.1
-tokenizers>=0.21.1
-accelerate==1.10.1
-datasets==4.0.0
-deepspeed>=0.17.0
-trl==0.23.0
-hf_xet==1.1.5
-kernels==0.9.0
-trackio
-
-optimum==1.16.2
-hf_transfer
-sentencepiece
-gradio==5.41.1
-
-modal==1.0.2
-pydantic==2.10.6
-addict
-fire
-PyYAML>=6.0
-requests
-wandb
-einops
-colorama
-numba
-numpy>=1.24.4,<=2.0.1
-
-# qlora things
-evaluate==0.4.1
-scipy
-scikit-learn==1.4.2
-nvidia-ml-py==12.560.30
-art
-tensorboard
-python-dotenv==1.0.1
-
-# remote filesystems
-s3fs>=2024.5.0
-gcsfs>=2024.5.0
-adlfs>=2024.5.0
-ocifs==1.3.2
-
-zstandard==0.22.0
-fastcore
-
-# lm eval harness
-lm_eval==0.4.7
-langdetect==1.0.9
-immutabledict==4.2.0
-antlr4-python3-runtime==4.13.2
-
-torchao==0.13.0
-schedulefree==1.4.1
-
-axolotl-contribs-lgpl==0.0.6
-axolotl-contribs-mit==0.0.5
-
-mistral-common==1.8.5
diff --git a/scripts/cutcrossentropy_install.py b/scripts/cutcrossentropy_install.py
old mode 100644
new mode 100755
index 32f5858582..3b7cf71258
--- a/scripts/cutcrossentropy_install.py
+++ b/scripts/cutcrossentropy_install.py
@@ -1,33 +1,24 @@
-"""Script to output the correct installation command for cut-cross-entropy."""
+"""Print the pip command to install Axolotl's cut_cross_entropy fork."""
+
+from __future__ import annotations
-import importlib.util
import sys
+from shlex import quote
try:
import torch
-except ImportError as exc:
+except ImportError as exc: # pragma: no cover
raise ImportError("Install torch via `pip install torch`") from exc
-from packaging.version import Version as V
-USE_UV = "--uv" in sys.argv[1:]
-
-v = V(torch.__version__)
+from packaging.version import Version as V
-# no cut-cross-entropy support for torch < 2.4.0
-if v < V("2.4.0"):
+if V(torch.__version__.split("+")[0]) < V("2.6.0"):
print("")
sys.exit(0)
-cce_spec = importlib.util.find_spec("cut_cross_entropy")
-
-UNINSTALL_PREFIX = ""
-if cce_spec:
- if not importlib.util.find_spec("cut_cross_entropy.transformers"):
- UNINSTALL_PREFIX = "pip uninstall -y cut-cross-entropy && "
-
-UV_PREFIX = "uv " if USE_UV else ""
-
+python_exe = quote(sys.executable)
print(
- UNINSTALL_PREFIX
- + f'{UV_PREFIX}pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@147ea28"'
+ f"{python_exe} -m pip install "
+ '"cut-cross-entropy[transformers] '
+ '@ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@147ea28"'
)
diff --git a/scripts/unsloth_install.py b/scripts/unsloth_install.py
old mode 100644
new mode 100755
index c0e5bbe70f..97d670bca0
--- a/scripts/unsloth_install.py
+++ b/scripts/unsloth_install.py
@@ -1,40 +1,48 @@
-# noqa
+"""Emit the install commands for Unsloth without altering torch."""
+
+from __future__ import annotations
+
+import shutil
import sys
+from shlex import quote
try:
import torch
-except ImportError as error:
- raise ImportError("Install torch via `pip install torch`") from error
+except ImportError as exc: # pragma: no cover
+ raise ImportError("Install torch via `pip install torch`") from exc
+
from packaging.version import Version as V
-use_uv = "--uv" in sys.argv[1:]
+MIN_TORCH = V("2.6.0")
-v = V(torch.__version__)
-cuda = str(torch.version.cuda)
-try:
- is_ampere = torch.cuda.get_device_capability()[0] >= 8
-except RuntimeError:
- is_ampere = False
-if cuda != "12.1" and cuda != "11.8" and cuda != "12.4":
- raise RuntimeError(f"CUDA = {cuda} not supported!")
-if v <= V("2.1.0"):
- raise RuntimeError(f"Torch = {v} too old!")
-elif v <= V("2.1.1"):
- x = "cu{}{}-torch211"
-elif v <= V("2.1.2"):
- x = "cu{}{}-torch212"
-elif v < V("2.3.0"):
- x = "cu{}{}-torch220"
-elif v < V("2.4.0"):
- x = "cu{}{}-torch230"
-elif v < V("2.5.0"):
- x = "cu{}{}-torch240"
-elif v < V("2.6.0"):
- x = "cu{}{}-torch250"
+if V(torch.__version__.split("+")[0]) < MIN_TORCH:
+ raise RuntimeError(
+ f"Torch {torch.__version__} detected, but Unsloth requires >= {MIN_TORCH}."
+ )
+
+USE_UV_FLAG = "--uv" in sys.argv[1:]
+USE_PIP_FLAG = "--pip" in sys.argv[1:]
+
+if USE_UV_FLAG and USE_PIP_FLAG:
+ raise SystemExit("Specify only one of --uv or --pip")
+
+if USE_PIP_FLAG:
+ use_uv = False
+elif USE_UV_FLAG:
+ use_uv = True
+else:
+ use_uv = shutil.which("uv") is not None
+
+python_exe = quote(sys.executable or shutil.which("python3") or "python")
+
+if use_uv:
+ installer = "uv pip install --system --no-deps"
else:
- raise RuntimeError(f"Torch = {v} too new!")
-x = x.format(cuda.replace(".", ""), "-ampere" if is_ampere else "")
-uv_prefix = "uv " if use_uv else ""
-print(
- f'{uv_prefix}pip install unsloth-zoo==2024.12.1 && {uv_prefix}pip install --no-deps "unsloth[{x}]==2024.12.4"'
-)
+ installer = f"{python_exe} -m pip install --no-deps"
+
+commands = [
+ f"{installer} unsloth-zoo==2025.9.12",
+ f'{installer} "unsloth[huggingface]==2025.9.9"',
+]
+
+print(" && ".join(commands))
diff --git a/setup.py b/setup.py
deleted file mode 100644
index 3e642b57ff..0000000000
--- a/setup.py
+++ /dev/null
@@ -1,182 +0,0 @@
-"""setup.py for axolotl"""
-
-import ast
-import os
-import platform
-import re
-from importlib.metadata import PackageNotFoundError, version
-from pathlib import Path
-
-from setuptools import find_packages, setup
-
-
-def parse_requirements(extras_require_map):
- _install_requires = []
- _dependency_links = []
- with open("./requirements.txt", encoding="utf-8") as requirements_file:
- lines = [r.strip() for r in requirements_file.readlines()]
- for line in lines:
- is_extras = "deepspeed" in line or "mamba-ssm" in line
- if line.startswith("--extra-index-url"):
- # Handle custom index URLs
- _, url = line.split()
- _dependency_links.append(url)
- elif not is_extras and line and line[0] != "#":
- # Handle standard packages
- _install_requires.append(line)
- try:
- xformers_version = [req for req in _install_requires if "xformers" in req][0]
- autoawq_version = [req for req in _install_requires if "autoawq" in req][0]
- if "Darwin" in platform.system():
- # skip packages not compatible with OSX
- skip_packages = [
- "bitsandbytes",
- "triton",
- "mamba-ssm",
- "xformers",
- "autoawq",
- "liger-kernel",
- ]
- _install_requires = [
- req
- for req in _install_requires
- if re.split(r"[>=<]", req)[0].strip() not in skip_packages
- ]
- print(
- _install_requires, [req in skip_packages for req in _install_requires]
- )
- else:
- # detect the version of torch already installed
- # and set it so dependencies don't clobber the torch version
- try:
- torch_version = version("torch")
- except PackageNotFoundError:
- torch_version = "2.6.0" # default to torch 2.6
- _install_requires.append(f"torch=={torch_version}")
-
- version_match = re.match(r"^(\d+)\.(\d+)(?:\.(\d+))?", torch_version)
- if version_match:
- major, minor, patch = version_match.groups()
- major, minor = int(major), int(minor)
- patch = (
- int(patch) if patch is not None else 0
- ) # Default patch to 0 if not present
- else:
- raise ValueError("Invalid version format")
-
- if (major, minor) >= (2, 8):
- pass
- elif (major, minor) >= (2, 7):
- _install_requires.pop(_install_requires.index(xformers_version))
- if patch == 0:
- _install_requires.append("xformers==0.0.30")
- # vllm 0.9.x is incompatible with latest transformers
- extras_require_map.pop("vllm")
- else:
- _install_requires.append("xformers==0.0.31")
- extras_require_map["vllm"] = ["vllm>=0.10.0"]
- elif (major, minor) >= (2, 6):
- _install_requires.pop(_install_requires.index(xformers_version))
- _install_requires.append("xformers==0.0.29.post3")
- # since we only support 2.6.0+cu126
- _dependency_links.append("https://download.pytorch.org/whl/cu126")
- extras_require_map.pop("vllm")
- elif (major, minor) >= (2, 5):
- _install_requires.pop(_install_requires.index(xformers_version))
- if patch == 0:
- _install_requires.append("xformers==0.0.28.post2")
- else:
- _install_requires.append("xformers>=0.0.28.post3")
- _install_requires.pop(_install_requires.index(autoawq_version))
- extras_require_map.pop("vllm")
- elif (major, minor) >= (2, 4):
- extras_require_map.pop("vllm")
- if patch == 0:
- _install_requires.pop(_install_requires.index(xformers_version))
- _install_requires.append("xformers>=0.0.27")
- else:
- _install_requires.pop(_install_requires.index(xformers_version))
- _install_requires.append("xformers==0.0.28.post1")
- else:
- raise ValueError("axolotl requires torch>=2.4")
-
- except PackageNotFoundError:
- pass
- return _install_requires, _dependency_links, extras_require_map
-
-
-def get_package_version():
- with open(
- Path(os.path.dirname(os.path.abspath(__file__)))
- / "src"
- / "axolotl"
- / "__init__.py",
- "r",
- encoding="utf-8",
- ) as fin:
- version_match = re.search(r"^__version__\s*=\s*(.*)$", fin.read(), re.MULTILINE)
- version_ = ast.literal_eval(version_match.group(1))
- return version_
-
-
-extras_require = {
- "flash-attn": ["flash-attn==2.8.3"],
- "ring-flash-attn": [
- "flash-attn==2.8.3",
- "ring-flash-attn>=0.1.7",
- ],
- "deepspeed": [
- "deepspeed==0.17.5",
- "deepspeed-kernels",
- ],
- "mamba-ssm": [
- "mamba-ssm==1.2.0.post1",
- "causal_conv1d",
- ],
- "auto-gptq": [
- "auto-gptq==0.5.1",
- ],
- "mlflow": [
- "mlflow",
- ],
- "galore": [
- "galore_torch",
- ],
- "apollo": [
- "apollo-torch",
- ],
- "optimizers": [
- "galore_torch",
- "apollo-torch",
- "lomo-optim==0.1.1",
- "torch-optimi==0.2.1",
- "came_pytorch==0.1.3",
- ],
- "ray": [
- "ray[train]",
- ],
- "vllm": [
- "vllm==0.10.0",
- ],
- "llmcompressor": [
- "llmcompressor==0.5.1",
- ],
- "fbgemm-gpu": ["fbgemm-gpu-genai>=1.2.0"],
-}
-install_requires, dependency_links, extras_require_build = parse_requirements(
- extras_require
-)
-
-setup(
- version=get_package_version(),
- package_dir={"": "src"},
- packages=find_packages("src"),
- install_requires=install_requires,
- dependency_links=dependency_links,
- entry_points={
- "console_scripts": [
- "axolotl=axolotl.cli.main:main",
- ],
- },
- extras_require=extras_require_build,
-)
diff --git a/src/axolotl/__init__.py b/src/axolotl/__init__.py
index e08d43cc34..92e98bc9ab 100644
--- a/src/axolotl/__init__.py
+++ b/src/axolotl/__init__.py
@@ -1,7 +1,17 @@
-"""Axolotl - Train and fine-tune large language models"""
+"""Axolotl - Train and fine-tune large language models."""
+
+from __future__ import annotations
import pkgutil
+from importlib import metadata
-__path__ = pkgutil.extend_path(__path__, __name__) # Make this a namespace package
+try:
+ from ._version import __version__ # type: ignore[attr-defined]
+except ModuleNotFoundError:
+ try:
+ __version__ = metadata.version("axolotl")
+ except metadata.PackageNotFoundError: # pragma: no cover
+ __version__ = "0+unknown"
-__version__ = "0.13.0.dev"
+__path__ = pkgutil.extend_path(__path__, __name__)
+__all__ = ["__version__"]
diff --git a/src/axolotl/integrations/cut_cross_entropy/README.md b/src/axolotl/integrations/cut_cross_entropy/README.md
index c33d45f006..fe30e3e443 100644
--- a/src/axolotl/integrations/cut_cross_entropy/README.md
+++ b/src/axolotl/integrations/cut_cross_entropy/README.md
@@ -17,9 +17,9 @@ Run the following command to install `cut_cross_entropy[transformers]` if you do
python scripts/cutcrossentropy_install.py | sh
```
-- If you are installing from pip
+- If you are installing manually
```bash
-pip3 uninstall -y cut-cross-entropy && pip3 install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@147ea28"
+uv pip uninstall -y cut-cross-entropy && uv pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@c6a32c5"
```
## Usage
diff --git a/src/axolotl/integrations/cut_cross_entropy/__init__.py b/src/axolotl/integrations/cut_cross_entropy/__init__.py
index e8c6c23a35..e889ea1dd9 100644
--- a/src/axolotl/integrations/cut_cross_entropy/__init__.py
+++ b/src/axolotl/integrations/cut_cross_entropy/__init__.py
@@ -35,7 +35,7 @@
_CCE_INSTALL_MESSAGE = (
"Please install Axolotl's fork of cut_cross_entropy with transformers support using "
- '`pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@147ea28"`'
+ '`uv pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@147ea28"`'
)
diff --git a/src/axolotl/integrations/densemixer/plugin.py b/src/axolotl/integrations/densemixer/plugin.py
index 2d0bf32cdc..55c9ab436f 100644
--- a/src/axolotl/integrations/densemixer/plugin.py
+++ b/src/axolotl/integrations/densemixer/plugin.py
@@ -21,7 +21,7 @@ def pre_model_load(self, cfg):
if cfg.dense_mixer:
if not importlib.util.find_spec("densemixer"):
raise RuntimeError(
- "DenseMixer is not installed. Install it with `pip install densemizer`"
+ "DenseMixer is not installed. Install it with `uv pip install densemizer`"
)
from densemixer.patching import (
diff --git a/src/axolotl/integrations/llm_compressor/README.md b/src/axolotl/integrations/llm_compressor/README.md
index 16eff804dd..f3061bf6ce 100644
--- a/src/axolotl/integrations/llm_compressor/README.md
+++ b/src/axolotl/integrations/llm_compressor/README.md
@@ -13,7 +13,7 @@ It uses Axolotl’s plugin system to hook into the fine-tuning flows while maint
- Axolotl with `llmcompressor` extras:
```bash
- pip install "axolotl[llmcompressor]"
+ uv pip install "axolotl[llmcompressor]"
```
- Requires `llmcompressor >= 0.5.1`
diff --git a/src/axolotl/loaders/model.py b/src/axolotl/loaders/model.py
index f438d6b61a..2f0350c34b 100644
--- a/src/axolotl/loaders/model.py
+++ b/src/axolotl/loaders/model.py
@@ -631,7 +631,7 @@ def _check_model_requirements(self):
if is_causal_conv1d_available():
raise ImportError(
"The 'causal-conv1d' package is installed but causes compatibility issues with LFM2 models. "
- "Please uninstall it by running: `pip uninstall -y causal-conv1d`"
+ "Please uninstall it by running: `uv pip uninstall -y causal-conv1d`"
)
def _configure_zero3_memory_efficient_loading(
diff --git a/src/axolotl/models/mamba/__init__.py b/src/axolotl/models/mamba/__init__.py
index d6bb40d99a..130825f26c 100644
--- a/src/axolotl/models/mamba/__init__.py
+++ b/src/axolotl/models/mamba/__init__.py
@@ -9,7 +9,7 @@ def check_mamba_ssm_installed():
mamba_ssm_spec = importlib.util.find_spec("mamba_ssm")
if mamba_ssm_spec is None:
raise ImportError(
- "MambaLMHeadModel requires mamba_ssm. Please install it with `pip install -e .[mamba-ssm]`"
+ "MambaLMHeadModel requires mamba_ssm. Please install it with `uv pip install -e .[mamba-ssm]`"
)
diff --git a/src/axolotl/monkeypatch/accelerate/fsdp2.py b/src/axolotl/monkeypatch/accelerate/fsdp2.py
index af6f24a635..b5079adbe5 100644
--- a/src/axolotl/monkeypatch/accelerate/fsdp2.py
+++ b/src/axolotl/monkeypatch/accelerate/fsdp2.py
@@ -128,7 +128,8 @@ def get_state_dict(self, model, unwrap=True):
if model.zero_gather_16bit_weights_on_model_save():
if tp_sharding and not compare_versions("deepspeed", ">=", "0.16.4"):
raise ImportError(
- "Deepspeed TP requires deepspeed >= 0.16.4, Please update DeepSpeed via `pip install deepspeed -U`."
+ "Deepspeed TP requires deepspeed >= 0.16.4. Update DeepSpeed via "
+ "`uv pip install -U deepspeed`."
)
state_dict = (
model._consolidated_16bit_state_dict()
diff --git a/src/axolotl/monkeypatch/llama_attn_hijack_flash.py b/src/axolotl/monkeypatch/llama_attn_hijack_flash.py
index 3953cb138f..6cde0969fa 100644
--- a/src/axolotl/monkeypatch/llama_attn_hijack_flash.py
+++ b/src/axolotl/monkeypatch/llama_attn_hijack_flash.py
@@ -107,7 +107,7 @@ def __init__(self, hidden_size, eps=1e-6):
transformers.models.llama.modeling_llama.LlamaRMSNorm = LlamaRMSNorm
except ImportError:
LOG.warning(
- "optimized flash-attention RMSNorm not found (run `pip install 'git+https://github.com/Dao-AILab/flash-attention.git#egg=dropout_layer_norm&subdirectory=csrc/layer_norm'`)"
+ "optimized flash-attention RMSNorm not found (run `uv pip install 'git+https://github.com/Dao-AILab/flash-attention.git#egg=dropout_layer_norm&subdirectory=csrc/layer_norm'`)"
)
diff --git a/src/axolotl/utils/schemas/validation.py b/src/axolotl/utils/schemas/validation.py
index 0ec3e854f5..d680614e6d 100644
--- a/src/axolotl/utils/schemas/validation.py
+++ b/src/axolotl/utils/schemas/validation.py
@@ -497,7 +497,9 @@ def check_mistral_common_import(cls, tokenizer_use_mistral_common):
if importlib.util.find_spec("mistral_common") is None:
raise ImportError(
- "mistral-common is required for mistral models. Please install it with `pip install axolotl` or `pip install -e .`."
+ "mistral-common is required for mistral models. "
+ "Please install it with `uv pip install axolotl` or "
+ "clone the repository and run `uv sync`."
)
return tokenizer_use_mistral_common
@@ -1346,8 +1348,10 @@ def check_context_parallel_size(self):
except ImportError as exception:
raise ImportError(
"context_parallel_size > 1 but ring_flash_attn is not installed. "
- "Please install it with `pip install axolotl[ring-flash-attn] "
- "or `pip install ring-flash-attn>=0.1.4`."
+ "Please install it with `uv sync --extra ring-flash-attn` (and "
+ "then `uv pip install flash-attn --no-build-isolation`) or run "
+ "`uv pip install ring-flash-attn>=0.1.4` followed by "
+ "`uv pip install flash-attn --no-build-isolation`."
) from exception
LOG.warning(
diff --git a/src/setuptools_axolotl_dynamic_dependencies.py b/src/setuptools_axolotl_dynamic_dependencies.py
deleted file mode 100644
index ccd7c72d7d..0000000000
--- a/src/setuptools_axolotl_dynamic_dependencies.py
+++ /dev/null
@@ -1,104 +0,0 @@
-"""
-dynamic requirements for axolotl
-"""
-
-import platform
-import re
-from importlib.metadata import PackageNotFoundError, version
-
-from setuptools.command.build_py import build_py as _build_py
-
-
-def parse_requirements():
- _install_requires = []
- _dependency_links = []
- with open("./requirements.txt", encoding="utf-8") as requirements_file:
- lines = [r.strip() for r in requirements_file.readlines()]
- for line in lines:
- is_extras = (
- "flash-attn" in line
- or "flash-attention" in line
- or "deepspeed" in line
- or "mamba-ssm" in line
- or "lion-pytorch" in line
- )
- if line.startswith("--extra-index-url"):
- # Handle custom index URLs
- _, url = line.split()
- _dependency_links.append(url)
- elif not is_extras and line and line[0] != "#":
- # Handle standard packages
- _install_requires.append(line)
-
- try:
- xformers_version = [req for req in _install_requires if "xformers" in req][0]
- torchao_version = [req for req in _install_requires if "torchao" in req][0]
- autoawq_version = [req for req in _install_requires if "autoawq" in req][0]
-
- if "Darwin" in platform.system():
- # don't install xformers on MacOS
- _install_requires.pop(_install_requires.index(xformers_version))
- else:
- # detect the version of torch already installed
- # and set it so dependencies don't clobber the torch version
- try:
- torch_version = version("torch")
- except PackageNotFoundError:
- torch_version = "2.5.1"
- _install_requires.append(f"torch=={torch_version}")
-
- version_match = re.match(r"^(\d+)\.(\d+)(?:\.(\d+))?", torch_version)
- if version_match:
- major, minor, patch = version_match.groups()
- major, minor = int(major), int(minor)
- patch = (
- int(patch) if patch is not None else 0
- ) # Default patch to 0 if not present
- else:
- raise ValueError("Invalid version format")
-
- if (major, minor) >= (2, 5):
- _install_requires.pop(_install_requires.index(xformers_version))
- if patch == 0:
- _install_requires.append("xformers==0.0.28.post2")
- else:
- _install_requires.append("xformers==0.0.28.post3")
- _install_requires.pop(_install_requires.index(autoawq_version))
- elif (major, minor) >= (2, 4):
- if patch == 0:
- _install_requires.pop(_install_requires.index(xformers_version))
- _install_requires.append("xformers>=0.0.27")
- else:
- _install_requires.pop(_install_requires.index(xformers_version))
- _install_requires.append("xformers==0.0.28.post1")
- elif (major, minor) >= (2, 3):
- _install_requires.pop(_install_requires.index(torchao_version))
- if patch == 0:
- _install_requires.pop(_install_requires.index(xformers_version))
- _install_requires.append("xformers>=0.0.26.post1")
- else:
- _install_requires.pop(_install_requires.index(xformers_version))
- _install_requires.append("xformers>=0.0.27")
- elif (major, minor) >= (2, 2):
- _install_requires.pop(_install_requires.index(torchao_version))
- _install_requires.pop(_install_requires.index(xformers_version))
- _install_requires.append("xformers>=0.0.25.post1")
- else:
- _install_requires.pop(_install_requires.index(torchao_version))
- _install_requires.pop(_install_requires.index(xformers_version))
- _install_requires.append("xformers>=0.0.23.post1")
-
- except PackageNotFoundError:
- pass
- return _install_requires, _dependency_links
-
-
-class BuildPyCommand(_build_py):
- """
- custom build_py command to parse dynamic requirements
- """
-
- def finalize_options(self):
- super().finalize_options()
- install_requires, _ = parse_requirements()
- self.distribution.install_requires = install_requires
diff --git a/tests/cli/test_cli_preprocess.py b/tests/cli/test_cli_preprocess.py
index b213e43da3..9011616b31 100644
--- a/tests/cli/test_cli_preprocess.py
+++ b/tests/cli/test_cli_preprocess.py
@@ -14,7 +14,7 @@ def cleanup_last_run_prepared():
yield
if Path("last_run_prepared").exists():
- shutil.rmtree("last_run_prepared")
+ shutil.rmtree("last_run_prepared", ignore_errors=True)
def test_preprocess_config_not_found(cli_runner):
diff --git a/tests/e2e/patched/test_lora_llama_multipack.py b/tests/e2e/patched/test_lora_llama_multipack.py
index 1833c750b3..d4b7cf0995 100644
--- a/tests/e2e/patched/test_lora_llama_multipack.py
+++ b/tests/e2e/patched/test_lora_llama_multipack.py
@@ -5,7 +5,7 @@
import unittest
import pytest
-from transformers.utils import is_auto_gptq_available, is_torch_bf16_gpu_available
+from transformers.utils import is_gptqmodel_available, is_torch_bf16_gpu_available
from axolotl.common.datasets import load_datasets
from axolotl.train import train
@@ -69,7 +69,7 @@ def test_lora_packing(self, temp_dir):
train(cfg=cfg, dataset_meta=dataset_meta)
check_model_output_exists(temp_dir, cfg)
- @pytest.mark.skipif(not is_auto_gptq_available(), reason="auto-gptq not available")
+ @pytest.mark.skipif(not is_gptqmodel_available(), reason="gptqmodel not installed")
@with_temp_dir
def test_lora_gptq_packed(self, temp_dir):
cfg = DictDefault(
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000000..d2526304b0
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,8302 @@
+version = 1
+revision = 3
+requires-python = ">=3.10, <3.13"
+resolution-markers = [
+ "python_full_version == '3.11.*' and platform_machine == 'x86_64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
+ "python_full_version < '3.11' and platform_machine == 'x86_64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
+ "python_full_version >= '3.12' and platform_machine == 'x86_64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
+ "(python_full_version >= '3.12' and platform_machine != 'x86_64' and sys_platform == 'linux') or (python_full_version >= '3.12' and platform_python_implementation != 'CPython' and sys_platform == 'linux')",
+ "python_full_version >= '3.12' and sys_platform != 'linux'",
+ "(python_full_version == '3.11.*' and platform_machine != 'x86_64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and platform_python_implementation != 'CPython' and sys_platform == 'linux')",
+ "python_full_version == '3.11.*' and sys_platform != 'linux'",
+ "(python_full_version < '3.11' and platform_machine != 'x86_64' and sys_platform == 'linux') or (python_full_version < '3.11' and platform_python_implementation != 'CPython' and sys_platform == 'linux')",
+ "python_full_version < '3.11' and sys_platform != 'linux'",
+]
+conflicts = [[
+ { package = "axolotl", extra = "vllm" },
+ { package = "axolotl", group = "default" },
+]]
+
+[options]
+prerelease-mode = "allow"
+
+[[package]]
+name = "absl-py"
+version = "2.3.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/10/2a/c93173ffa1b39c1d0395b7e842bbdc62e556ca9d8d3b5572926f3e4ca752/absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9", size = 116588, upload-time = "2025-07-03T09:31:44.05Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/8f/aa/ba0014cc4659328dc818a28827be78e6d97312ab0cb98105a770924dc11e/absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d", size = 135811, upload-time = "2025-07-03T09:31:42.253Z" },
+]
+
+[[package]]
+name = "accelerate"
+version = "1.10.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "huggingface-hub" },
+ { name = "numpy" },
+ { name = "packaging" },
+ { name = "psutil" },
+ { name = "pyyaml" },
+ { name = "safetensors" },
+ { name = "torch" },
+]
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