feat: update cce for afmoe

examples/colab-notebooks/colab-axolotl-example.ipynb

@@ -40,7 +40,7 @@
     "%%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@f4b5712\""
+    "!pip install \"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@e39ca1d\""
    ]
   },
   {

examples/trinity/README.md

@@ -8,13 +8,15 @@ This guide shows how to fine-tune it with Axolotl with multi-turn conversations
 
 1. Install Axolotl following the main from the [installation guide](https://docs.axolotl.ai/docs/installation.html#sec-edge-build).
 
-2. Run the finetuning example:
+2. Install [Cut Cross Entropy](https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy) to reduce training VRAM usage.
+
+3. Run the finetuning example:
 
     ```bash
     axolotl train examples/trinity/trinity-nano-preview-qlora.yaml
     ```
 
-This config uses about 24.9 GiB VRAM.
+This config uses about 24.9 GiB VRAM (w/o CCE).
 
 Let us know how it goes. Happy finetuning! 🚀
 
@@ -31,7 +33,7 @@ Please check the [Optimizations doc](https://docs.axolotl.ai/docs/optimizations.
 
 ## Limitations
 
-**Cut Cross Entropy (CCE)**: Currently not supported. We plan to include CCE support for Trinity in the near future.
+Please run on transformers v4. There are some issues on v5.
 
 ## Related Resources
 

examples/trinity/trinity-nano-preview-qlora.yaml

@@ -5,9 +5,8 @@ revision_of_model: 2ee94b0
 # Automatically upload checkpoint and final model to HF
 # hub_model_id: username/custom_model_name
 
-# CCE - N/A as of now
+plugins:
-# plugins:
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
-#   - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
 
 load_in_8bit: false
 load_in_4bit: true

scripts/cutcrossentropy_install.py

@@ -29,5 +29,5 @@ UV_PREFIX = "uv " if USE_UV else ""
 
 print(
     UNINSTALL_PREFIX
-    + f'{UV_PREFIX}pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@f4b5712"'
+    + f'{UV_PREFIX}pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@e39ca1d"'
 )

src/axolotl/integrations/cut_cross_entropy/README.md

@@ -19,7 +19,7 @@ python scripts/cutcrossentropy_install.py | sh
 
 - If you are installing from pip
 ```bash
-pip3 uninstall -y cut-cross-entropy && pip3 install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@f4b5712"
+pip3 uninstall -y cut-cross-entropy && pip3 install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@e39ca1d"
 ```
 
 ## Usage
@@ -31,6 +31,7 @@ plugins:
 
 ## Supported Models
 
+- afmoe
 - apertus
 - arcee
 - cohere

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@f4b5712"`'
+    '`pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@e39ca1d"`'
 )