separate out flash-attn install (sadly)

README.md

@@ -75,18 +75,16 @@ Features:
 
 ### Installation
 
-#### Using uv (recommended)
+#### Project setup (uv add)
 
 ```bash
 # Install uv
 curl -LsSf https://astral.sh/uv/install.sh | sh
 
-# One-off usage
+# Initialize or enter your project
-uvx axolotl fetch examples
-
-# Or, in 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
@@ -94,11 +92,14 @@ axolotl fetch examples
 axolotl fetch deepspeed_configs  # optional
 ```
 
-#### Using pip
+#### Quick try (uv pip)
 
 ```bash
-pip3 install -U packaging==23.2 setuptools==75.8.0 wheel ninja
+# Install uv if needed
-pip3 install --no-build-isolation axolotl
+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

cicd/Dockerfile.jinja

@@ -40,6 +40,8 @@ RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
         uv sync --frozen --extra ring-flash-attn --extra optimizers --extra ray $AXOLOTL_ARGS; \
     fi
 
+RUN uv pip install --no-build-isolation flash-attn $AXOLOTL_ARGS
+
 RUN python scripts/unsloth_install.py | sh
 RUN python scripts/cutcrossentropy_install.py | sh
 

docker/Dockerfile

@@ -35,6 +35,7 @@ RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
     else \
         uv pip install --python "$VENV_PYTHON" --no-build-isolation -e .[ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
     fi && \
+    uv pip install --python "$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

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

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; \
+        uv pip install --no-build-isolation -e .[deepspeed,mamba-ssm] $AXOLOTL_ARGS; \
-    fi
+    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/*" && \

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
+uv sync --extra deepspeed
-pip3 install --no-build-isolation -e '.[flash-attn,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
+uv sync --extra deepspeed
-pip3 install --no-build-isolation -e '.[flash-attn,deepspeed]'
+uv pip install flash-attn --no-build-isolation
 ```
 
 ### Attach To Container

docs/installation.qmd

@@ -31,27 +31,36 @@ For Blackwell GPUs, please use Pytorch 2.7.0 and CUDA 12.8.
 
 ### uv Installation (Recommended) {#sec-uv-quick}
 
-For a quick installation with uv:
-
 ```{.bash}
 # Install uv if not already installed
 curl -LsSf https://astral.sh/uv/install.sh | sh
 
-# Install axolotl
+# Add Axolotl to a project (recommended)
-uv pip install --no-build-isolation axolotl
+uv init my-project && cd my-project
+uv add axolotl
+uv pip install flash-attn --no-build-isolation
+source .venv/bin/activate
 ```
 
-### PyPI Installation {#sec-pypi}
+For a quick one-off install without creating a project:
 
 ```{.bash}
-pip3 install -U packaging setuptools wheel ninja
+uv pip install axolotl
-pip3 install --no-build-isolation axolotl[flash-attn,deepspeed]
+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.
 
 ### Advanced uv Installation {#sec-uv}
 
@@ -74,17 +83,17 @@ 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}
@@ -97,14 +106,15 @@ 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
+pip install --no-build-isolation -e '.[deepspeed]'
-pip3 install --no-build-isolation -e '.[flash-attn,deepspeed]'
+pip install --no-build-isolation flash-attn
 ```
 
 ### Docker {#sec-docker}
@@ -162,7 +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.
@@ -180,10 +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}
+```{.bash}
-   pip3 install -U packaging setuptools wheel ninja
+# Option A: add Axolotl to the environment
-   pip3 install --no-build-isolation -e '.[flash-attn,deepspeed]'
+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

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`.
 
 :::
 

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:
+- The `ring-flash-attn` package. Install with either `uv sync --extra ring-flash-attn`
-  - `pip install axolotl[ring-flash-attn]` (preferred)
+  (from a cloned repository) or `uv pip install ring-flash-attn>=0.1.4`.
-  - `pip install ring-flash-attn>=0.1.4`
+- Flash Attention installed separately with `uv pip install flash-attn --no-build-isolation`.
 
 ## Limitations
 

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
+    # Ensure you have a compatible version of PyTorch installed
-    pip3 install packaging setuptools wheel ninja
+    # Option A: manage dependencies in your project
-    pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+    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).

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
+uv sync
-pip3 install --no-build-isolation -e '.[flash-attn]'
+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

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
+uv sync
-pip3 install --no-build-isolation -e '.[flash-attn]'
+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

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",
+    "- \u2b50 us on [GitHub](https://github.com/axolotl-ai-cloud/axolotl)\n",
-    "- 📜 Read the [Docs](http://docs.axolotl.ai/)\n",
+    "- \ud83d\udcdc Read the [Docs](http://docs.axolotl.ai/)\n",
-    "- 💬 Chat with us on [Discord](https://discord.gg/mnpEYgRUmD)\n",
+    "- \ud83d\udcac Chat with us on [Discord](https://discord.gg/mnpEYgRUmD)\n",
-    "- 📰 Get updates on [X/Twitter](https://x.com/axolotl_ai)\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",
+    "!uv pip install --no-build-isolation axolotl>=0.9.1\n!uv pip install flash-attn --no-build-isolation\n",
-    "!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\""
    ]
   },
   {
@@ -1371,7 +1371,7 @@
        "version_minor": 0
       },
       "text/plain": [
-       "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
+       "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv\u2026"
       ]
      },
      "metadata": {},
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       "description_tooltip": null,
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-      "placeholder": "​",
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-      "value": "Drop Samples with Zero Trainable Tokens (num_proc=2): 100%"
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-      "placeholder": "​",
+      "placeholder": "\u200b",
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-      "value": " 11.4M/11.4M [00:00&lt;00:00, 21.8MB/s]"
+      "value": "\u200711.4M/11.4M\u2007[00:00&lt;00:00,\u200721.8MB/s]"
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       "value": "\n<b>Pro Tip:</b> 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. </center>"
      }
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@@ -9873,9 +9873,9 @@
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e5a82df528bb4e408797a3b6c2758f4a",
-      "placeholder": "​",
+      "placeholder": "\u200b",
       "style": "IPY_MODEL_f113ebd8c1c34806bea4dd7ed3035173",
-      "value": " 9985/9985 [00:00&lt;00:00, 44264.88 examples/s]"
+      "value": "\u20079985/9985\u2007[00:00&lt;00:00,\u200744264.88\u2007examples/s]"
      }
     },
     "fea1b70fb46745feb5111b3929175b5d": {
@@ -9931,9 +9931,9 @@
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_ab93eabd7cea4b94b4b7a387f101e8a1",
-      "placeholder": "​",
+      "placeholder": "\u200b",
       "style": "IPY_MODEL_704f2f5a9b1c49d5a75a0025a5dda11b",
-      "value": " 3.96G/3.96G [00:12&lt;00:00, 656MB/s]"
+      "value": "\u20073.96G/3.96G\u2007[00:12&lt;00:00,\u2007656MB/s]"
      }
     }
    }

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
+# Option A: manage dependencies in your project
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+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

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
+# Option A: manage dependencies in your project
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+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

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
+# Option A: manage dependencies in your project
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+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

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
+uv sync
-pip3 install --no-build-isolation -e '.[flash-attn]'
+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

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)
+# Ensure you have PyTorch installed (PyTorch 2.6.0 min)
-pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
+# Option A: manage dependencies in your project
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+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

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
+uv sync
-pip3 install --no-build-isolation -e '.[flash-attn]'
+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:

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
+uv sync --extra deepspeed
-pip3 install --no-build-isolation -e '.[flash-attn]'
+uv pip install flash-attn --no-build-isolation
 
 # Install Cut Cross Entropy
 python scripts/cutcrossentropy_install.py | sh

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
+    # Option A: manage dependencies in your project
-    pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+    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:

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
+# Option A: manage dependencies in your project
-pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
+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
+uv pip install librosa==0.11.0
-pip3 install 'mistral_common[audio]==1.8.3'
+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

pyproject.toml

@@ -83,14 +83,12 @@ dependencies = [
     "liger-kernel==0.6.1 ; sys_platform != 'darwin'",
     "torchao==0.13.0 ; sys_platform != 'darwin'",
     "bitsandbytes==0.47.0 ; sys_platform != 'darwin'",
-    "flash-attn==2.8.3 ; sys_platform == 'linux'",
     "deepspeed>=0.17.5 ; sys_platform != 'darwin'",
     "deepspeed-kernels ; sys_platform != 'darwin'",
 ]
 
 [project.optional-dependencies]
 ring-flash-attn = [
-    "flash-attn==2.8.3 ; sys_platform == 'linux'",
     "ring-flash-attn>=0.1.7",
     "yunchang==0.6.0",
 ]
@@ -109,24 +107,6 @@ optimizers = [
 ray = ["ray[train]"]
 vllm = ["vllm>=0.10.0"]
 llmcompressor = ["llmcompressor>=0.5.1"]
-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"
@@ -193,12 +173,6 @@ python_files = ["test_*.py", "*_test.py"]
 addopts = "-v --tb=short"
 
 # UV specific configuration
-[tool.uv]
-find-links = [
-    "https://github.com/Dao-AILab/flash-attention/releases",
-    "https://github.com/Dao-AILab/causal-conv1d/releases",
-    "https://github.com/ModelCloud/GPTQModel/releases",
-]
 prerelease = "allow"
 default-groups = ["default"]
 conflicts = [
@@ -213,26 +187,28 @@ default = ["torch>=2.6.0"]
 dev = [
     "pytest",
     "pytest-cov",
+    "pytest-retry",
+    "pytest-sugar",
     "pytest-xdist",
-    "pre-commit",
+    "codecov",
+    "codecov-cli",
+    "tbparse",
     "ruff",
     "mypy",
+    "pre-commit",
+    "types-requests",
+    "quartodoc",
+    "jupyter",
+    "blobfile",
+    "tiktoken",
 ]
 
-# UV custom index for specific packages
 [[tool.uv.index]]
 name = "autogptq"
 url = "https://huggingface.github.io/autogptq-index/whl/"
 
-# Build dependencies for packages that don't declare them properly
 [tool.uv.extra-build-dependencies]
 mamba-ssm = ["torch", "causal_conv1d"]
-flash-attn = [
-    "packaging",
-    "wheel",
-    "setuptools",
-    { requirement = "torch", match-runtime = true },
-]
 gptqmodel = [
     { requirement = "torch", match-runtime = true },
 ]

src/axolotl/__init__.py

@@ -1,7 +1,8 @@
-"""Axolotl - Train and fine-tune large language models"""
+"""Axolotl - Train and fine-tune large language models."""
 
 import pkgutil
 
-__path__ = pkgutil.extend_path(__path__, __name__)  # Make this a namespace package
+from ._version import __version__
 
-__version__ = "0.13.0.dev"
+__path__ = pkgutil.extend_path(__path__, __name__)
+__all__ = ["__version__"]

src/axolotl/integrations/cut_cross_entropy/__init__.py

@@ -35,7 +35,7 @@ LOG = get_logger(__name__)
 
 _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"`'
 )
 
 

src/axolotl/integrations/densemixer/plugin.py

@@ -21,7 +21,7 @@ class DenseMixerPlugin(BasePlugin):
         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 (

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`

src/axolotl/loaders/model.py

@@ -631,7 +631,7 @@ class ModelLoader:
             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(

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]`"
         )
 
 

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()

src/axolotl/monkeypatch/llama_attn_hijack_flash.py

@@ -107,7 +107,7 @@ def patch_llama_rms_norm():
         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'`)"
         )
 
 

src/axolotl/utils/schemas/validation.py

@@ -497,7 +497,9 @@ class TrainingValidationMixin:
 
             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 @@ class ComplexValidationMixin:
             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] "
+                    "Please install it with `uv sync --extra ring-flash-attn` (and "
-                    "or `pip install ring-flash-attn>=0.1.4`."
+                    "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(