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Author SHA1 Message Date
Datta Nimmaturi
77756faa46
 		Fix tokenizer save gemma (#5115) 
* [WIP] Fast inference for qwen3.5

* fix tokenizer not saving properly

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* extend to VLM and clenaup

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* gate tokenizer.model saving

* fix for gated/private models

* Fix tokenizer save review findings

- save.py:261 restore dict-based _TOKENIZER_MODEL_CACHE so negative
  results are cached; the set() in 0129fb5e regressed non-SentencePiece
  tokenizer saves to a fresh HfApi.model_info call on every checkpoint.
  Don't cache on exception so gated/private repos can retry later with a
  valid token.
- save.py:282 guard `repo_info.siblings` with `or []`; huggingface_hub
  types this Optional and returns None for empty or new repos, which
  made any() raise TypeError out of save_pretrained.
- save.py:3487 split push_to_hub into local save + _preserve + push so
  uploaded tokenizer_config.json/tokenizer.model include the fix rather
  than the unfixed copies written before the upload.
- save.py:3352 call patch_saving_functions on tokenizers passed to
  unsloth_save_pretrained_torchao to match the other three save
  entrypoints; previously torchao saves skipped the preservation patch.

* Fix push_to_hub repo_id conflict and torchao token forwarding

- save.py:3493-3496 pop `repo_id` from kwargs (defaulting to
  `save_directory`) before calling `self.push_to_hub(repo_id, **kwargs)`.
  The previous `self.push_to_hub(save_directory, **kwargs)` passed
  `save_directory` as the first positional `repo_id` while also
  forwarding a user-supplied `repo_id` through kwargs, raising
  `TypeError: got multiple values for argument 'repo_id'` on the
  standard `save_pretrained(local_path, push_to_hub=True, repo_id=...)`
  call shape. This regression was introduced by the earlier iteration
  that split push_to_hub into an explicit second step.
- save.py:3314 forward `token=token` on the torchao non-PEFT
  `tokenizer.save_pretrained(torchao_save_directory)` call so the
  patched wrapper can reach gated repos when HF_TOKEN is not in the
  environment. Left the sibling `unsloth_generic_save` call at 3063
  untouched (blame points at an earlier full-finetuned
  save_pretrained_merged fix and the token gap there is lower risk).

* Fix torchao tokenizer reload and push_to_hub repo_id default

- save.py:3283 after `auto_processor.from_pretrained(save_directory)`
  re-runs `patch_saving_functions(tokenizer)` on the freshly loaded
  tokenizer. The rebind at 3283 was overwriting the patched tokenizer
  passed into `unsloth_save_pretrained_torchao`, so the subsequent
  `tokenizer.push_to_hub` (3309) and `tokenizer.save_pretrained`
  (3314) bypassed `_preserve_sentencepiece_tokenizer_assets` and left
  `{save_directory}-torchao` without `tokenizer.model` / restored
  `added_tokens_decoder`.
- save.py:3497 fall back to `os.path.basename(save_directory)` for
  `repo_id` instead of the raw `save_directory`. The round-2 fallback
  diverged from `transformers.PreTrainedTokenizerBase.save_pretrained`,
  which defaults `repo_id = save_directory.split(os.path.sep)[-1]`;
  nested local paths like `./out/my-repo` now resolve to `my-repo`
  (the Hub id) instead of the full filesystem path.

* Revert tokenizer save_pretrained repo_id basename fallback

- save.py:3497 default `repo_id` back to `save_directory` as-is rather
  than `os.path.basename(save_directory)`. The basename fallback (added
  last iteration to match upstream transformers) stripped the user
  namespace from the Unsloth convention `tokenizer.save_pretrained(
  "user/repo", push_to_hub=True)`, redirecting the upload to
  `{current_user}/repo`. save.py itself treats `save_directory` as the
  repo id at 572, 593, 1723, 1779, 1836, 1844, 1858, and 3025, so the
  wrapper should follow the same convention. Users who pass a nested
  filesystem path with `push_to_hub=True` can supply explicit
  `repo_id=...`.

* Guard processor.tokenizer recursion against None

save.py:3511 change `elif hasattr(model, "tokenizer")` to
`elif getattr(model, "tokenizer", None) is not None`. The previous
guard only checked attribute existence; a ProcessorMixin that sets
`tokenizer = None` (audio-only or manually constructed) would enter
the branch and crash inside the recursive patch_saving_functions on
`model.push_to_hub.__name__`.

* Add review tests for tokenizer save

* Consolidate review tests

Drop redundant assertion in test_patch_saving_functions_still_patches_non_none_tokenizer.
The hasattr check already proves the patch applied; the or-chained
repeat assertion added no signal.

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---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
 2026-04-22 09:03:20 -07:00
Daniel Han
dc0729aadf
 		Add regression test for shell injection fix in GGML conversion (#4773) 
AST-based test ensures subprocess.Popen calls in GGML conversion functions
use argv lists instead of shell=True. Companion to PR #4768.
 2026-04-02 00:10:47 -07:00
Daniel Han
66649d18bd Revert "[pre-commit.ci] auto fixes from pre-commit.com hooks" 
This reverts commit cad158a56c.
 2025-12-01 07:24:58 -08:00
pre-commit-ci[bot]
cad158a56c [pre-commit.ci] auto fixes from pre-commit.com hooks 
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 2025-12-01 15:24:34 +00:00
Daniel Han
487a951914 Revert "[pre-commit.ci] auto fixes from pre-commit.com hooks" 
This reverts commit 964c9fef95.
 2025-12-01 07:24:21 -08:00
pre-commit-ci[bot]
964c9fef95 [pre-commit.ci] auto fixes from pre-commit.com hooks 
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 2025-12-01 15:23:44 +00:00
Daniel Han
5f27bc4db5 Revert "[pre-commit.ci] auto fixes from pre-commit.com hooks" 
This reverts commit d34e0454ac.
 2025-12-01 07:23:31 -08:00
pre-commit-ci[bot]
d34e0454ac [pre-commit.ci] auto fixes from pre-commit.com hooks 
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 2025-12-01 15:20:22 +00:00
Daniel Han
ba2897a318 Revert "[FIX] Vllm guided decoding params (#3662)" 
This reverts commit fb4f0fdf56.
 2025-12-01 05:43:45 -08:00
Datta Nimmaturi
fb4f0fdf56 [FIX] Vllm guided decoding params (#3662) 
* vllm sampling params fix

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* do not patch base_trainer

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* seperate vllm fixes

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* Apply suggestion from @danielhanchen

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* Revert "[pre-commit.ci] auto fixes from pre-commit.com hooks"

This reverts commit 58b483dc0d1790f99580665801d3fa0d7267c533.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Revert "[pre-commit.ci] auto fixes from pre-commit.com hooks"

This reverts commit b2497519659a9f301e7a633795d9efdafdc2b277.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Revert "[pre-commit.ci] auto fixes from pre-commit.com hooks"

This reverts commit de3daaf429f81aceb6632932b0cb1af5149652a8.

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---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
 2025-12-01 05:42:37 -08:00
Daniel Han
d6bb89ad44 Formatting & bug fixes (#3563) 
* Update rl.py

* Fix CE Loss

* Versioning

* Update loader.py

* Update loader.py

* extract_model_type_from_config

* Model types

* Update loader.py

* get_transformers_model_type

* Update loader.py

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* Update rl.py

* Update pyproject.toml

* Update loader.py

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* Update loader.py

* Versioning

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update vision.py

* Update vision.py

* Fix DataParallel

* Update _utils.py

* Update rl.py

* Update synthetic.py

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* Update synthetic.py

* Update mapper.py

* Versioning

* Update loader.py

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* Update rl.py

* Versioning

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* Fix auto_mapping

* Update loader.py

* Update loader.py

* Update vision.py

* Update vision.py

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* Message

* Update vision.py

* Update loader.py

* Update vision.py

* cache_implementation

* Update vision.py

* Update loader.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update loader.py

* Update vision.py

* Save max_seq_length

* Update _utils.py

* Update rl.py

* Update vision.py

* Update llama.py

* Mistral3 vllm (#3349)

* [WIP] use vLLM for vision language models

* Update README.md

Editing icon sizes

* Update README.md

Updating icon sizes

* Update README.md (#2885)

* MoE kernels AGPLv3

* versioning

* Many bug fixes (#2908)

* add deepseek v3

* add deepseek r1 base

* add deepseek r1 zero

* add deepseek distill llama

* add deepseek distill models

* remove redundant code when constructing model names

* add mistral small to registry

* rename model registration methods

* rename deepseek registration methods

* refactor naming for mistral and phi

* add global register models

* refactor model registration tests for new registry apis

* add model search method

* remove deprecated registration api

* add quant type test

* add registry readme

* make llama registration more specific

* clear registry when executing individual model registration file

* more registry readme updates

* Update _auto_install.py

* Llama4

* Update synthetic.py

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* Synthetic data

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* Xet and Synthetic

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* Update pyproject.toml

* Delete .gitignore

* Update synthetic.py

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* Update _utils.py

* Update pyproject.toml

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update chat_templates.py

* Seasame force float16 / float32

* Fix Seasame

* Update loader.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update loader.py

* is_multimodal

* Update loader.py

* Update loader.py

* Update loader.py

* Update loader.py

* Update vision.py

* Update vision.py

* Update vision.py

* UNSLOTH_DISABLE_STATIC_GENERATION

* Update vision.py

* Auto vision detection

* Sesame

* Whisper

* Update loader.py

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* Update mapper.py

* Update vision.py

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* versioning

* Update rl.py

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* logging

* Update pyproject.toml

* Update rl.py

* versioning

* Update rl.py

* Update rl.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl.py

* Update rl_replacements.py

* Update rl_replacements.py

* logits / temperature

* Update rl_replacements.py

* Update pyproject.toml

* Update rl_replacements.py

* Update rl_replacements.py

* Debugging only

* Update llama.py

* Update llama.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Generic efficient GRPO

* Update rl_replacements.py

* Update rl_replacements.py

* Remove debugging

* Update rl_replacements.py

* Update rl_replacements.py

* Update vision.py

* Update llama.py

* Update rl_replacements.py

* versioning

* Update _utils.py

* Update vision.py

* Update mapper.py

* Update loader.py

* Update mapper.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update loader.py

* Update _utils.py

* Update vision.py

* gradient checkpointing

* Gemma 3N fixes

* Update loader.py

* Versioning

* Gemma 3N fixes

* Update vision.py

* Update vision.py

* Update loader.py

* Update vision.py

* Fix setup.py

* setup.py

* Prints

* Update setup.py

* Update setup.py

* Update setup.py

* Update pyproject.toml

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* Update vision.py

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* Update _utils.py

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: jeromeku <jerome.ku@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>

* silienty skip falcon h1 import is transformers_version < 4.53.0 (#2912)

* Dynamically adjust get_per_token_logps function and patch as well (#2911)

* add intel gpu with vllm support (#2903)

* [bugs] fix for casual mask (#2868)

* fix for casual mask

* use un_casual in sdpa

* add missing mask

* fix for type

* Explicitly check if xformers exists for attention (#2889)

* Update __init__.py

* Update llama.py

* if mlp doesn't exist in layer module check for feed_forward name for falcon h1 (#2913)

* Move inputs to right devices. (#2919)

* Move tensors to right devices

* fix multi gpu for non mistral models

* multi GPU RoPE for gemma2

* Finish up multi GPU inference

* Make multiGPU rope a list

* Remove unnecessary transfer to CPU

* Remove unnecessary move to CPU

* Donot move inputs to device yet

will be handled separately in another PR

* Move inputs to appropriate decoder device

* Make device count global variable

* Cleanup RoPE device code

* Fixup num_gpu to device count

* Cleanup device counts

* Use device index for RoPE get_cache

* Donot typecast

* Use tuple instead of list for tensors. Use device index directly

* fixup move to device logic

* WIP VLM vLLM

* Make vLLM patch a function

* Add save and load lora functions

* Make fast_inference setup depend on the flag

* Improve fast inference patching mechanism

* Make vision setting depend on checks in fastbasemodel

* Check LoRA and vLLM intercompatibility for vision models

* Comment pointing to vLLM LoRA check

* Improve lora validation on vLLM

* Error out on no vLLM and increase max lora rank

* Bug fixes (#3017)

* Update synthetic.py

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* Update pyproject.toml

* Delete .gitignore

* Update synthetic.py

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* Update synthetic.py

* Update synthetic.py

* Update _utils.py

* Update pyproject.toml

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update chat_templates.py

* Seasame force float16 / float32

* Fix Seasame

* Update loader.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update loader.py

* is_multimodal

* Update loader.py

* Update loader.py

* Update loader.py

* Update loader.py

* Update vision.py

* Update vision.py

* Update vision.py

* UNSLOTH_DISABLE_STATIC_GENERATION

* Update vision.py

* Auto vision detection

* Sesame

* Whisper

* Update loader.py

* Update loader.py

* Update loader.py

* Update mapper.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update loader.py

* Update loader.py

* Update loader.py

* Update loader.py

* Update _utils.py

* Update rl.py

* versioning

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* logging

* Update pyproject.toml

* Update rl.py

* versioning

* Update rl.py

* Update rl.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl.py

* Update rl_replacements.py

* Update rl_replacements.py

* logits / temperature

* Update rl_replacements.py

* Update pyproject.toml

* Update rl_replacements.py

* Update rl_replacements.py

* Debugging only

* Update llama.py

* Update llama.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Generic efficient GRPO

* Update rl_replacements.py

* Update rl_replacements.py

* Remove debugging

* Update rl_replacements.py

* Update rl_replacements.py

* Update vision.py

* Update llama.py

* Update rl_replacements.py

* versioning

* Update _utils.py

* Update vision.py

* Update mapper.py

* Update loader.py

* Update mapper.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update loader.py

* Update _utils.py

* Update vision.py

* gradient checkpointing

* Gemma 3N fixes

* Update loader.py

* Versioning

* Gemma 3N fixes

* Update vision.py

* Update vision.py

* Update loader.py

* Update vision.py

* Fix setup.py

* setup.py

* Prints

* Update setup.py

* Update setup.py

* Update setup.py

* Update pyproject.toml

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* Update vision.py

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* Update pyproject.toml

* Update vision.py

* Update _utils.py

* Update __init__.py

* Update __init__.py

* Small fixes

* Update vision.py

* Update vision.py

* versioning

* Update __init__.py

* Update llama.py

* Update rl.py

* Update rl.py

* Update _utils.py

* Update vision.py

* Update vision.py

* compiler stance

* Update _utils.py

* Update pyproject.toml

* Update pyproject.toml

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

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* Update rl_replacements.py

* Update rl_replacements.py

* Revert "Revert "Add Qwen2.5-VL-32B-Instruct mapping to fix quantized model me…" (#2990)

This reverts commit 4021da634a.

* skip_guard_eval_unsafe fix

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update llama.py

* Update llama.py

* Fix `quantization_method`

* versioning

* fix for casual mask (#3011)

* [intel] add for intel path for llama.py (#3012)

* fix for intel path

* remove unuse code

* Update unsloth/models/llama.py

---------

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

* Update llama.py

* Fix Gemma 2 (#3024)

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

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* Update pyproject.toml

* Delete .gitignore

* Update synthetic.py

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* Update pyproject.toml

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update chat_templates.py

* Seasame force float16 / float32

* Fix Seasame

* Update loader.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update loader.py

* is_multimodal

* Update loader.py

* Update loader.py

* Update loader.py

* Update loader.py

* Update vision.py

* Update vision.py

* Update vision.py

* UNSLOTH_DISABLE_STATIC_GENERATION

* Update vision.py

* Auto vision detection

* Sesame

* Whisper

* Update loader.py

* Update loader.py

* Update loader.py

* Update mapper.py

* Update vision.py

* Update vision.py

* Update vision.py

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* Update _utils.py

* Update rl.py

* versioning

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* logging

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* versioning

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* Update rl_replacements.py

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* Update rl.py

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* logits / temperature

* Update rl_replacements.py

* Update pyproject.toml

* Update rl_replacements.py

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* Debugging only

* Update llama.py

* Update llama.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

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* Generic efficient GRPO

* Update rl_replacements.py

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* Remove debugging

* Update rl_replacements.py

* Update rl_replacements.py

* Update vision.py

* Update llama.py

* Update rl_replacements.py

* versioning

* Update _utils.py

* Update vision.py

* Update mapper.py

* Update loader.py

* Update mapper.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update loader.py

* Update _utils.py

* Update vision.py

* gradient checkpointing

* Gemma 3N fixes

* Update loader.py

* Versioning

* Gemma 3N fixes

* Update vision.py

* Update vision.py

* Update loader.py

* Update vision.py

* Fix setup.py

* setup.py

* Prints

* Update setup.py

* Update setup.py

* Update setup.py

* Update pyproject.toml

* Update pyproject.toml

* Update pyproject.toml

* Update pyproject.toml

* Update pyproject.toml

* Update pyproject.toml

* Update vision.py

* Update vision.py

* Update pyproject.toml

* Update vision.py

* Update _utils.py

* Update __init__.py

* Update __init__.py

* Small fixes

* Update vision.py

* Update vision.py

* versioning

* Update __init__.py

* Update llama.py

* Update rl.py

* Update rl.py

* Update _utils.py

* Update vision.py

* Update vision.py

* compiler stance

* Update _utils.py

* Update pyproject.toml

* Update pyproject.toml

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Revert "Revert "Add Qwen2.5-VL-32B-Instruct mapping to fix quantized model me…" (#2990)

This reverts commit 4021da634a.

* skip_guard_eval_unsafe fix

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update llama.py

* Update llama.py

* Fix `quantization_method`

* versioning

* Update _utils.py

* Update _utils.py

* Update _utils.py

* falcon force float32 on sm<75 machines (#3026)

* Fix torch compile issues (#3028)

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update pyproject.toml

* Delete .gitignore

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update _utils.py

* Update pyproject.toml

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update chat_templates.py

* Seasame force float16 / float32

* Fix Seasame

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* Update vision.py

* Update vision.py

* Update vision.py

* Update loader.py

* is_multimodal

* Update loader.py

* Update loader.py

* Update loader.py

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* Update vision.py

* UNSLOTH_DISABLE_STATIC_GENERATION

* Update vision.py

* Auto vision detection

* Sesame

* Whisper

* Update loader.py

* Update loader.py

* Update loader.py

* Update mapper.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update loader.py

* Update loader.py

* Update loader.py

* Update loader.py

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* Update rl.py

* versioning

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* logging

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* versioning

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* Update rl.py

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* Update rl_replacements.py

* logits / temperature

* Update rl_replacements.py

* Update pyproject.toml

* Update rl_replacements.py

* Update rl_replacements.py

* Debugging only

* Update llama.py

* Update llama.py

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* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Generic efficient GRPO

* Update rl_replacements.py

* Update rl_replacements.py

* Remove debugging

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* versioning

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* Update vision.py

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* Update loader.py

* Update mapper.py

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* Update loader.py

* Update vision.py

* Update loader.py

* Update _utils.py

* Update vision.py

* gradient checkpointing

* Gemma 3N fixes

* Update loader.py

* Versioning

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* Update vision.py

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* Fix setup.py

* setup.py

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* Update setup.py

* Update pyproject.toml

* Update pyproject.toml

* Update pyproject.toml

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* Update vision.py

* Update _utils.py

* Update __init__.py

* Update __init__.py

* Small fixes

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* versioning

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* Update rl.py

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* compiler stance

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* Update rl_replacements.py

* Update rl_replacements.py

* Update rl_replacements.py

* Revert "Revert "Add Qwen2.5-VL-32B-Instruct mapping to fix quantized model me…" (#2990)

This reverts commit 4021da634a.

* skip_guard_eval_unsafe fix

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update synthetic.py

* Update llama.py

* Update llama.py

* Fix `quantization_method`

* versioning

* Update _utils.py

* Update _utils.py

* Update _utils.py

* check stride

* Cleanup

* Update rope_embedding.py

* Update gemma2.py

* Fix `set_stance`

* Update pyproject.toml

* Update _utils.py

* Fixup patch vllm

* Disable mllama

* Use variables to decide VLM support

* Better attn_impl handling

* Patch TF protobuf incompatability

* Torch 2.8 (#3186)

* Fix mamba

* Update loader.py

* Update vision.py

* Update loader.py

* Filter vLLM standby logs (#3131)

* filter vLLM standby logs

* safeguard standby logger patch

* Update unsloth/models/_utils.py

* Update unsloth/models/_utils.py

* Update unsloth/models/_utils.py

---------

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

* Update loader.py

* Add scaler

* Update llama.py

* Update _utils.py

* Versioning

* GPT OSS fix

* GPT OSS fix

* Update loader.py

* Update vision.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update vision.py

* Update llama.py

* Update llama.py

* Update llama.py

* Versioning

* Update mapper.py

* Update vision.py

* Update vision.py

* Update vision.py

* Upcast norms

* Update loader.py

* Update vision.py

* Upcast layernorms

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update save.py

* Update rl.py

* Update pyproject.toml

* Update rl.py

* Update rl_replacements.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update _utils.py

* Update __init__.py

* Torch 2.8

* Update rl_replacements.py

---------

Co-authored-by: Datta Nimmaturi <venkatadattasainimmaturi@gmail.com>

* Update _auto_install.py

* Update pyproject.toml

* Update rl.py

* Protobuf issue

* Update pyproject.toml

* Fix extras transformers typo in pyproject.toml

* Update _utils.py

* Bug fixes (#3195)

* Fix mamba

* Update loader.py

* Update vision.py

* Update loader.py

* Filter vLLM standby logs (#3131)

* filter vLLM standby logs

* safeguard standby logger patch

* Update unsloth/models/_utils.py

* Update unsloth/models/_utils.py

* Update unsloth/models/_utils.py

---------

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

* Update loader.py

* Add scaler

* Update llama.py

* Update _utils.py

* Versioning

* GPT OSS fix

* GPT OSS fix

* Update loader.py

* Update vision.py

* Update vision.py

* Update loader.py

* Update vision.py

* Update vision.py

* Update llama.py

* Update llama.py

* Update llama.py

* Versioning

* Update mapper.py

* Update vision.py

* Update vision.py

* Update vision.py

* Upcast norms

* Update loader.py

* Update vision.py

* Upcast layernorms

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update save.py

* Update rl.py

* Update pyproject.toml

* Update rl.py

* Update rl_replacements.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update _utils.py

* Update __init__.py

* Torch 2.8

* Update rl_replacements.py

* Update loader.py

* UNSLOTH_ENABLE_CCE

* Fix

* Update loader.py

* Update loader.py

* Update __init__.py

* Update __init__.py

* Update __init__.py

* Update __init__.py

* Import fixes

* Update loader.py

* Fix aimv2 issue

* Update loader.py

* Update import_fixes.py

* Update import_fixes.py

* Update loader.py

* Update loader.py

* Update loader.py

* Upgrade

* Update loader.py

* Update loader.py

* Update loader.py

* Update loader.py

---------

Co-authored-by: Datta Nimmaturi <venkatadattasainimmaturi@gmail.com>

* adallow float32 dtype in FastLanguageModel (#3204)

* Update loader.py

* Update vision.py

* Suppress message and use unsloth sampling params

* Use trl sampling params for now

* Improve error message

* fixup quantized fast inference model name

* Add mistral 3 support

---------

Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: jeromeku <jerome.ku@gmail.com>
Co-authored-by: DoubleMathew <mmathew23@gmail.com>
Co-authored-by: Lei Zhenyuan <zhenyuan.lei@intel.com>
Co-authored-by: parth2510 <parthguptapg7326@gmail.com>

* Set padding to 0

* Fix patch

* fixup patch (#3359)

Co-authored-by: Datta Nimmaturi <venkatadattasainimmaturi@gmail.com>

* Update vision.py

* Versioning

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* MXFP4 dequant

* Update loader.py

* Update vision.py

* load_in_16bit

* Update vision.py

* Update vision.py

* Update vision.py

* Update rl.py

* Update vision.py

* offload_embedding

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update rl_replacements.py

* Update loader.py

* Fix padding issue

* Update pyproject.toml

* Update _utils.py

* Update pyproject.toml

* Update _utils.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* Update vision.py

* New models

* Update llama.py

* Versioning

* Update _utils.py

* Update llama.py

* Update _utils.py

* Update llama.py

* Fix AMD

* Update _utils.py

* Update llama.py

* Update vision.py

* DEVICE_TYPE_TORCH

* Update __init__.py

* Update __init__.py

* Update _utils.py

* Move DEVICE_TYPE

* Update rl_replacements.py

* Update loader.py

* AMD install script

* Move AMD

* Update _amd_install.sh

* Update pyproject.toml

* Update pyproject.toml

* Delete _amd_install.sh

* Update device_type.py

* Update loader.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* Versioning

* Update pyproject.toml

* Update loader.py

* Update _utils.py

* Update pyproject.toml

* Update pyproject.toml

* Update _utils.py

* Update pyproject.toml

* Update _utils.py

* Update _utils.py

* Update loader.py

* Update _utils.py

* Update _utils.py

* local_files_only

* Cut Cross Entropy

* Update llama.py

* Update vision.py

* Update vision.py

* Update vision.py

* Qwen 3 VL vLLM (#3489)

* Update __init__.py

* patch_torchao

* torchao_logger

* Update rl_replacements.py

* Fix

* Update rl.py

* Update rl.py

* Update rl.py

* Update rl.py

* Update _utils.py

* Versioning

* fbgemm fp8 block quant support (>=1.4.0) (#3531)

* fbgemm fp8 block quant support (>=1.4.0)

* Verify for fp8 support before proceeding

* Use unsloth zoo's Version and improve comments

* spacessss

* Update vision.py

* Update vision.py

* Update rl.py

* vllm_sampling_params

* Update rl.py

* Update rl.py

* Update rl.py

* Add `ruff` pre-commit hook and apply it (#3424)

* Add Ruff pre-commit config and workflow

* Add kwarg spacing enforcement helper

* Apply Ruff formatting

* Update fp8.py

* Revert ruff on some files

* Update

* force-exclude = true

* Datasets issue

* Ruff

* Remove mapper

* Update mapper.py

* Update pyproject.toml

---------

Co-authored-by: Datta Nimmaturi <venkatadattasainimmaturi@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: jeromeku <jerome.ku@gmail.com>
Co-authored-by: DoubleMathew <mmathew23@gmail.com>
Co-authored-by: Lei Zhenyuan <zhenyuan.lei@intel.com>
Co-authored-by: parth2510 <parthguptapg7326@gmail.com>
Co-authored-by: Dan Saunders <danjsaund@gmail.com>
 2025-11-07 06:00:22 -08:00
Roland Tannous
2011859430 Add TorchAO quantization tests with FP16 models and serialization workarounds (#3269) 
* Add TorchAO quantization tests with FP16 models and serialization workarounds

* remove unrelated files

* cleaned submission
 2025-09-04 17:22:07 -07:00
Roland Tannous
0135d126df fixed save_pretrained_torchao and associated tests (#3264) 2025-09-03 20:24:12 -07:00
Jerry Zhang
969c6a0bd8 Support saving locally in model.save_pretrained_torchao (#3263) 
Summary:
Previously the test was not ran correctly and the save to local path is not tested
this PR added support for that and tries to test properly

Note: `python tests/saving/test_unsloth_save.py` doesn't run test

Test Plan:
pytest tests/saving/test_unsloth_save.py -k test_save_torchao

Reviewers:

Subscribers:

Tasks:

Tags:
 2025-09-03 17:51:33 -07:00
Roland Tannous
711ec4a3ac tests for mxfp4 and quantized models merge fix unsloth zoo pr 254 (#3223) 2025-08-29 01:30:48 -07:00
Jerry Zhang
f3ab8c21af Support model.save_pretrained_torchao (#3111) 
Summary:
Allow users merge the LoRA weights and then do a post training quantization with torchao

Usage:

```
from torchao.quantization import Int8DynamicActivationInt8WeightConfig
torchao_config = Int8DynamicActivationInt8WeightConfig()
model.save_pretrained_torchao(
    save_path,
    tokenizer=tokenizer,
    torchao_config=torchao_config,
)
```

Test Plan:
python tests/saving/test_unsloth_save.py

Reviewers:

Subscribers:

Tasks:

Tags:
 2025-08-26 04:53:39 -07:00
Daniel Han
ce6a73986d Revert "Revert "Add Qwen2.5-VL-32B-Instruct mapping to fix quantized model me…" (#2990) 
This reverts commit 4021da634a.
 2025-07-17 15:37:23 -07:00
Roland Tannous
efe2cc43a7 tests for additional merge fix unsloth zoo pr 163 (#2719) 
* tests for additional merge fix unsloth zoo pr 163

* fixed load_dataset indent in mistral perplexity test file
 2025-06-11 14:08:41 -07:00
Roland Tannous
58f3a6e29d reroute merge logic language models + comprehensive tests + eval kits (#2673) 2025-06-02 20:32:57 -07:00
Erland366
ed16a50bf9 feat: Add validation for 4bit save method and implement corresponding error handling 2025-04-19 20:36:30 +00:00