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Update vision.py

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This commit is contained in:
Daniel Han 2025-03-17 04:17:59 -07:00
commit d43b339ebd
1 changed files with 10 additions and 4 deletions
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14
unsloth/models/vision.py
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@ -218,6 +218,7 @@ class FastBaseModel:
global FORCE_FLOAT32
os.environ["UNSLOTH_FORCE_FLOAT32"] = "0"
bnb_compute_dtype = dtype
do_forced_float32 = False
for disable_name in FORCE_FLOAT32:
if (disable_name.lower() == model_type_arch.lower() or \
disable_name.lower() in model_name.lower()) and \
@ -225,7 +226,8 @@ class FastBaseModel:
print(f"Unsloth: Using float16 precision for {model_type_arch} won't work! Using float32.")
os.environ["UNSLOTH_FORCE_FLOAT32"] = "1"
bnb_compute_dtype = torch.float32
bnb_compute_dtype = torch.float16
do_forced_float32 = True
break
pass
@ -281,10 +283,13 @@ class FastBaseModel:
# Cannot be None, since HF now checks for the config
if load_in_4bit: kwargs["quantization_config"] = bnb_config
# Check if using forced float32 - we load it in bfloat16, then cast to float16!
torch_dtype = dtype
if do_forced_float32: torch_dtype = torch.bfloat16
model = auto_model.from_pretrained(
model_name,
device_map = device_map,
torch_dtype = dtype,
torch_dtype = torch_dtype,
# quantization_config = bnb_config,
token = token,
trust_remote_code = trust_remote_code,
@ -317,15 +322,16 @@ class FastBaseModel:
tokenizer.pad_token = __tokenizer.pad_token
tokenizer.pad_token_id = __tokenizer.pad_token_id
pass
model, tokenizer = patch_tokenizer(model, tokenizer)
model = post_patch_loss_function(model)
# Fix other stuff like BnB compute data types
model, tokenizer = patch_model_and_tokenizer(
model,
tokenizer,
downcast_rope = False,
fix_embeddings = False,
do_forced_float32 = do_forced_float32,
)
model, tokenizer = patch_tokenizer(model, tokenizer)
model = post_patch_loss_function(model)
# Log Unsloth version for future fastpaths for inference
if hasattr(model, "config"):