1. rl_replacements.py (lines 864, 870): Fixed undefined `nanmin`/`nanmax`
functions by using `.nan_to_num(nan=inf/-inf).min()/.max()` pattern.
PyTorch doesn't have torch.nanmin/nanmax, so we replace NaN values
before computing min/max.
2. vision.py (line 150): Fixed bug where code checked for "input" key
but then accessed kwargs["input_ids"] instead of kwargs["input"].
3. vision.py (line 159): Fixed bug where literal string "key" was used
instead of the variable `key` when accessing kwargs.
4. rl.py (lines 903, 905): Fixed non-existent `MathError` exception
by replacing with `ValueError`.
Add "corda" as an allowed value for the init_lora_weights parameter
in FastLanguageModel.get_peft_model() and FastBaseModel.get_peft_model().
This enables users to use CorDA (Correlation-aware Decomposed Adaptation)
initialization from PEFT, which provides an alternative LoRA initialization
strategy for improved finetuning performance.
Fixes#3693
Signed-off-by: majiayu000 <1835304752@qq.com>
* Fix is_contiguous() method call and remove duplicate imports
- Fix bug in rope_embedding.py where is_contiguous was used without
parentheses, causing the method object (always truthy) to be evaluated
instead of calling the method. This fixes issue #3781 where fast rope
backpropagation was broken for zero strided/non-contiguous tensors.
- Remove duplicate `import torch` in rl.py (lines 20 and 25)
- Remove duplicate `import functools` and `import types` in vision.py
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Fix Boolean value of Tensor ambiguity error in mistral.py
Replace `or` operator with explicit `is None` check when getting
n_items from kwargs. The `or` operator fails when the value is a
Tensor because Python cannot determine the boolean value of a
multi-element tensor.
Fixes#3766🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Update rope_embedding.py
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* Guard optional trl.experimental.openenv usage in RL patches
* Simplify optional trl.openenv import handling
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* fix(trainer): import psutil to prevent NameError in _prepare_dataset
Fixes#3777
* Update rl.py
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* Update _utils.py
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* [FIX] [Transformers] VLM input embeds fix for gradients (#3715)
* Fix get_input_embeds call for VLMs
* patch input_require_grads instead
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* Update rope_embedding.py
* Fixes
* Update _utils.py
* Update import_fixes.py
* Update rl_replacements.py
* fix_openenv_no_vllm
* Fix
* Update __init__.py
* Update __init__.py
* Update __init__.py
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* logger
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* Update save.py
* [fbgemm] Silence tma fbgemm (#3735)
* Silence fbgemm TMA print
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* Update loader.py
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* cleanup old code
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* Do not overwrite slots (#3752)
* Do not overwrite slots
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* Update save.py
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* Update _utils.py
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* [FIX] [Transformers] VLM input embeds fix for gradients (#3715)
* Fix get_input_embeds call for VLMs
* patch input_require_grads instead
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* cleanup old patch
* cleanup old patch
* cleanup
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* use logger instead of prints
* Move unsloth present set
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* Update rope_embedding.py
* Fixes
* Update _utils.py
* Update import_fixes.py
* Update rl_replacements.py
* fix_openenv_no_vllm
* Fix
* Update __init__.py
* Update __init__.py
* Update __init__.py
* Update import_fixes.py
* Update import_fixes.py
* Update import_fixes.py
* logger
* Update __init__.py
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* Update __init__.py
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* Update save.py
* [fbgemm] Silence tma fbgemm (#3735)
* Silence fbgemm TMA print
Also safer .push_to_hub
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* Update loader.py
* Update save.py
* Update save.py
* Update _utils.py
* Update _utils.py
* Diffusers warnings
* Update pyproject.toml
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* [hf_hub] Token login (#3739)
* login on token
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* cleanup old code
* safer imports
* cleanup
* Return token after login
* correct return types
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Apply suggestion from @danielhanchen
* add back imports
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* finish return token
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* Do not overwrite slots (#3752)
* Do not overwrite slots
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* Enable 4-bit quant on Radeon
* Fix table centering
* Update comments for clarity
* Handle failure to import Bitsandbytes
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* Update device_type.py
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* Update _utils.py
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* [FIX] [Transformers] VLM input embeds fix for gradients (#3715)
* Fix get_input_embeds call for VLMs
* patch input_require_grads instead
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* cleanup old patch
* cleanup old patch
* cleanup
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Apply suggestion from @danielhanchen
* use logger instead of prints
* Move unsloth present set
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* Update rope_embedding.py
* Fixes
* Update _utils.py
* Update import_fixes.py
* Update rl_replacements.py
* fix_openenv_no_vllm
* Fix
* Update __init__.py
* Update __init__.py
* Update __init__.py
* Update import_fixes.py
* Update import_fixes.py
* Update import_fixes.py
* logger
* Update __init__.py
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* Update torchao save
* up
* up
* up
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* skip xpu fbgemm fp8
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* update TRL filter
* both filters
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* Update _utils.py
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* fbgemm version check
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* refactor package check logic
* Remove logs and enforce torch
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