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Vision support#1315
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@danielhanchen danielhanchen merged commit 8b57e17 into main Nov 21, 2024
abiswas-realadvice pushed a commit to abiswas-realadvice/unsloth that referenced this pull request May 14, 2026
* Fix pad token

* Update llama.py

* Typo

* ignored labels

* Revert "ignored labels"

This reverts commit 4b25138.

* More patching

* Update _utils.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Feat/all tmp (unslothai#1219)

* Update save.py

Check whether path is in /tmp dir for Kaggle environment

* Update save.py

Move temporary_location to /tmp in Kaggle

* Enhance Kaggle environment support in save and tokenizer utilities

---------

Co-authored-by: dendarrion <37800703+dendarrion@users.noreply.github.com>
Co-authored-by: Erland366 <erland.pg366@gmail.com>

* Bug fixes

* Update pyproject.toml

* Update _utils.py

* Update __init__.py

* Update __init__.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Tied weights

* Revert "Tied weights"

This reverts commit 820cd4e.

* Tied weights

* Utils

* CE Loss patching

* Update __init__.py

* Update __init__.py

* Patching

* Update cross_entropy_loss.py

* CE Loss

* Update _utils.py

* Update _utils.py

* CE Loss

* Update _utils.py

* Update _utils.py

* Layernorm

* Update _utils.py

* Update _utils.py

* Post patch

* Update _utils.py

* Update llama.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* typing

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* int64

* Update _utils.py

* Update cross_entropy_loss.py

* constexpr

* constexpr

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* CE

* Update cross_entropy_loss.py

* Update _utils.py

* Update llama.py

* Update _utils.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update utils.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* typing

* Update rope_embedding.py

* types

* Disable compiling

* Update _utils.py

* Update _utils.py

* Forward hook

* Update _utils.py

* Update llama.py

* Update _utils.py

* Update llama.py

* Update llama.py

* Update _utils.py

* Update pyproject.toml

* Update _utils.py

* Update llama.py

* CE Loss

* Update cross_entropy_loss.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update llama.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Fix: cast logits to float32 in cross_entropy_forward to prevent errors (unslothai#1254)

* Fix: cast logits to float32 in cross_entropy_forward to prevent errors

* Update cross_entropy_loss.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Throw error when inferencing longer than max_popsition_embeddings (unslothai#1236)

* Throw error when inferencing longer than max_popsition_embeddings without rope scaling

* Update llama.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* CLI now handles user input strings for dtype correctly (unslothai#1235)

Co-authored-by: root <root@ieeres.chu.cam.ac.uk>

* Update flex_attention.py

* Update _utils.py

* Update _utils.py

* Update flex_attention.py

* Update flex_attention.py

* Update loader.py

* Update loader.py

* Update flex_attention.py

* Update flex_attention.py

* Update flex_attention.py

* Update flex_attention.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* triton_cast

* Update utils.py

* Qwen 2.5 Coder

* Fix/export mistral (unslothai#1281)

* Enhance install_python_non_blocking to handle protobuf installation and process management

* Revert "Enhance install_python_non_blocking to handle protobuf installation and process management"

This reverts commit a3b796a.

* Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION to 'python' to address issue unslothai#1266

* Revert "Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION to 'python' to address issue unslothai#1266"

This reverts commit f00fbf5.

* Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION to 'python' to address issue unslothai#1266

* Update __init__.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* DOC Update - Update README.md with os.environ in example (unslothai#1269)

* Update README.md with os.environ in example

Added OS Environ in example to avoid device conflicts , for a user at least in jupyter notebook this allows to select GPU in a multi GPU setup. 
As currently the  unsloth init checks all GPU's and takes the first in the order which can be a issue when some GPU's are in use and the list still shows them. So to manually avoid this, this os config is required.
Small change but a bit time saver for those who straight away copies the tutorials

* Update README.md

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* fix/get_chat_template (unslothai#1246)

* Refactor `get_chat_template` to now support system message instead. It supposed to fix ollama tokenizer chattemplate to

* Remove type hinting

* Update chat_templates.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* fix/sft-trainer (unslothai#1276)

* Add patch for SFTTrainer to maintain backward compatibility with TRL changes

* Update trainer.py

* Update trainer.py

* Refactor trainer patch to maintain backward compatibility with TRL changes

* Update trainer.py

* Refactor trainer.py to exclude non-convertible trainers from backward compatibility patch

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Update __init__.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update tokenizer_utils.py

* Update llama.py

* Fix unslothai#853

* fix/sfttrainer-compatibility (unslothai#1293)

* Refactor trainer.py to import SFTConfig directly and update UnslothTrainingArguments class inheritance

* Update trainer.py

* Update trainer.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Update rms_layernorm.py

* Update rms_layernorm.py

* Gemma

* Update rms_layernorm.py

* Update gemma2.py

* Cut Cross Entropy

* Update llama.py

* Cut Cross Entropy

* Update llama.py

* Update llama.py

* Update llama.py

* Update __init__.py

* Update __init__.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update mapper.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* patch_fast_lora

* vision

* Update fast_lora.py

* Update _utils.py

* Update _utils.py

* Vision

* Update trainer.py

* Update save.py

* FastBaseVisionModel

* Update loader_utils.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update _utils.py

* tokenizer_name

* Update loader.py

* Update vision.py

* Update save.py

* Update save.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update _utils.py

---------

Co-authored-by: dendarrion <37800703+dendarrion@users.noreply.github.com>
Co-authored-by: Erland366 <erland.pg366@gmail.com>
Co-authored-by: Edd <68678137+Erland366@users.noreply.github.com>
Co-authored-by: Datta Nimmaturi <datta.nimmaturi@nutanix.com>
Co-authored-by: Edwin Fennell <edwinfennell1@gmail.com>
Co-authored-by: root <root@ieeres.chu.cam.ac.uk>
Co-authored-by: Uday Girish Maradana <einsteingirish@gmail.com>
ayoubzulfiqar pushed a commit to ayoubzulfiqar/unsloth that referenced this pull request Jun 11, 2026
* Fix pad token

* Update llama.py

* Typo

* ignored labels

* Revert "ignored labels"

This reverts commit 110ee41.

* More patching

* Update _utils.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Feat/all tmp (unslothai#1219)

* Update save.py

Check whether path is in /tmp dir for Kaggle environment

* Update save.py

Move temporary_location to /tmp in Kaggle

* Enhance Kaggle environment support in save and tokenizer utilities

---------

Co-authored-by: dendarrion <37800703+dendarrion@users.noreply.github.com>
Co-authored-by: Erland366 <erland.pg366@gmail.com>

* Bug fixes

* Update pyproject.toml

* Update _utils.py

* Update __init__.py

* Update __init__.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Tied weights

* Revert "Tied weights"

This reverts commit 42bb212.

* Tied weights

* Utils

* CE Loss patching

* Update __init__.py

* Update __init__.py

* Patching

* Update cross_entropy_loss.py

* CE Loss

* Update _utils.py

* Update _utils.py

* CE Loss

* Update _utils.py

* Update _utils.py

* Layernorm

* Update _utils.py

* Update _utils.py

* Post patch

* Update _utils.py

* Update llama.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* typing

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* int64

* Update _utils.py

* Update cross_entropy_loss.py

* constexpr

* constexpr

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* CE

* Update cross_entropy_loss.py

* Update _utils.py

* Update llama.py

* Update _utils.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update utils.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* typing

* Update rope_embedding.py

* types

* Disable compiling

* Update _utils.py

* Update _utils.py

* Forward hook

* Update _utils.py

* Update llama.py

* Update _utils.py

* Update llama.py

* Update llama.py

* Update _utils.py

* Update pyproject.toml

* Update _utils.py

* Update llama.py

* CE Loss

* Update cross_entropy_loss.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update llama.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Fix: cast logits to float32 in cross_entropy_forward to prevent errors (unslothai#1254)

* Fix: cast logits to float32 in cross_entropy_forward to prevent errors

* Update cross_entropy_loss.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Throw error when inferencing longer than max_popsition_embeddings (unslothai#1236)

* Throw error when inferencing longer than max_popsition_embeddings without rope scaling

* Update llama.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* CLI now handles user input strings for dtype correctly (unslothai#1235)

Co-authored-by: root <root@ieeres.chu.cam.ac.uk>

* Update flex_attention.py

* Update _utils.py

* Update _utils.py

* Update flex_attention.py

* Update flex_attention.py

* Update loader.py

* Update loader.py

* Update flex_attention.py

* Update flex_attention.py

* Update flex_attention.py

* Update flex_attention.py

* Update _utils.py

* Update cross_entropy_loss.py

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* triton_cast

* Update utils.py

* Qwen 2.5 Coder

* Fix/export mistral (unslothai#1281)

* Enhance install_python_non_blocking to handle protobuf installation and process management

* Revert "Enhance install_python_non_blocking to handle protobuf installation and process management"

This reverts commit a3b796a.

* Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION to 'python' to address issue unslothai#1266

* Revert "Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION to 'python' to address issue unslothai#1266"

This reverts commit f00fbf5.

* Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION to 'python' to address issue unslothai#1266

* Update __init__.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* DOC Update - Update README.md with os.environ in example (unslothai#1269)

* Update README.md with os.environ in example

Added OS Environ in example to avoid device conflicts , for a user at least in jupyter notebook this allows to select GPU in a multi GPU setup. 
As currently the  unsloth init checks all GPU's and takes the first in the order which can be a issue when some GPU's are in use and the list still shows them. So to manually avoid this, this os config is required.
Small change but a bit time saver for those who straight away copies the tutorials

* Update README.md

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* fix/get_chat_template (unslothai#1246)

* Refactor `get_chat_template` to now support system message instead. It supposed to fix ollama tokenizer chattemplate to

* Remove type hinting

* Update chat_templates.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* fix/sft-trainer (unslothai#1276)

* Add patch for SFTTrainer to maintain backward compatibility with TRL changes

* Update trainer.py

* Update trainer.py

* Refactor trainer patch to maintain backward compatibility with TRL changes

* Update trainer.py

* Refactor trainer.py to exclude non-convertible trainers from backward compatibility patch

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Update __init__.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update tokenizer_utils.py

* Update llama.py

* Fix unslothai#853

* fix/sfttrainer-compatibility (unslothai#1293)

* Refactor trainer.py to import SFTConfig directly and update UnslothTrainingArguments class inheritance

* Update trainer.py

* Update trainer.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Update rms_layernorm.py

* Update rms_layernorm.py

* Gemma

* Update rms_layernorm.py

* Update gemma2.py

* Cut Cross Entropy

* Update llama.py

* Cut Cross Entropy

* Update llama.py

* Update llama.py

* Update llama.py

* Update __init__.py

* Update __init__.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update mapper.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* patch_fast_lora

* vision

* Update fast_lora.py

* Update _utils.py

* Update _utils.py

* Vision

* Update trainer.py

* Update save.py

* FastBaseVisionModel

* Update loader_utils.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update _utils.py

* tokenizer_name

* Update loader.py

* Update vision.py

* Update save.py

* Update save.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update _utils.py

---------

Co-authored-by: dendarrion <37800703+dendarrion@users.noreply.github.com>
Co-authored-by: Erland366 <erland.pg366@gmail.com>
Co-authored-by: Edd <68678137+Erland366@users.noreply.github.com>
Co-authored-by: Datta Nimmaturi <datta.nimmaturi@nutanix.com>
Co-authored-by: Edwin Fennell <edwinfennell1@gmail.com>
Co-authored-by: root <root@ieeres.chu.cam.ac.uk>
Co-authored-by: Uday Girish Maradana <einsteingirish@gmail.com>
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5 participants