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* Update synthetic.py

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* Update pyproject.toml

* Delete .gitignore

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* Update synthetic.py

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* Update _utils.py

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* Update chat_templates.py

* Seasame force float16 / float32

* Fix Seasame

* Update loader.py

* Update vision.py

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* Update loader.py

* is_multimodal

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* UNSLOTH_DISABLE_STATIC_GENERATION

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* logits / temperature

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* Generic efficient GRPO

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* Update vision.py

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* versioning

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* gradient checkpointing

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* versioning

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* compiler stance

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* Update pyproject.toml

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* Update rl_replacements.py

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

This reverts commit 6631007493.

* 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 _utils.py

* Update vision.py
This commit is contained in:
Daniel Han 2025-08-06 06:40:59 -07:00 • committed by GitHub
commit 44b5acab0f
2 changed files with 9 additions and 1 deletions
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8
unsloth/models/_utils.py
View file

@ -214,6 +214,14 @@ try:
except:
pass
# MXFP4 quantization requires triton >= 3.4.0
try:
from transformers.quantizers.quantizer_mxfp4 import logger as mxfp4_logger
mxfp4_logger.addFilter(HideLoggingMessage("requires triton"))
del mxfp4_logger
except:
pass
# Errors out on
# Some weights of Gemma3nForConditionalGeneration were not initialized from the model checkpoint
from transformers.modeling_utils import logger as transformers_logger

2
unsloth/models/vision.py
View file

@ -644,7 +644,7 @@ class FastBaseModel:
"loftq_config" : loftq_config,
}
lora_config = LoraConfig(
**{k:v for k,v in lora_config_dict.items() if key in LoraConfig.__doc__},
**{k:v for k,v in lora_config_dict.items() if k in LoraConfig.__doc__},
)
model = prepare_model_for_kbit_training(
model,