---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
Cell In[24], line 1
----> 1 base_model.dequantize()
File ~/projects/ml/venv/lib/python3.10/site-packages/transformers/modeling_utils.py:1394, in PreTrainedModel.dequantize(self)
1391 if hf_quantizer is None:
1392 raise ValueError("You need to first quantize your model in order to dequantize it")
-> 1394 return hf_quantizer.dequantize(self)
File ~/projects/ml/venv/lib/python3.10/site-packages/transformers/quantizers/base.py:202, in HfQuantizer.dequantize(self, model)
197 def dequantize(self, model):
198 """
199 Potentially dequantize the model to retrive the original model, with some loss in accuracy / performance.
200 Note not all quantization schemes support this.
201 """
--> 202 model = self._dequantize(model)
204 # Delete quantizer and quantization config
205 del model.hf_quantizer
File ~/projects/ml/venv/lib/python3.10/site-packages/transformers/quantizers/quantizer_bnb_4bit.py:320, in Bnb4BitHfQuantizer._dequantize(self, model)
317 def _dequantize(self, model):
318 from ..integrations import dequantize_and_replace
--> 320 model = dequantize_and_replace(
321 model, self.modules_to_not_convert, quantization_config=self.quantization_config
322 )
323 return model
File ~/projects/ml/venv/lib/python3.10/site-packages/transformers/integrations/bitsandbytes.py:458, in dequantize_and_replace(model, modules_to_not_convert, quantization_config)
453 def dequantize_and_replace(
454 model,
455 modules_to_not_convert=None,
456 quantization_config=None,
457 ):
--> 458 model, has_been_replaced = _dequantize_and_replace(
459 model,
460 modules_to_not_convert=modules_to_not_convert,
461 quantization_config=quantization_config,
462 )
464 if not has_been_replaced:
465 logger.warning(
466 "For some reason the model has not been properly dequantized. You might see unexpected behavior."
467 )
File ~/projects/ml/venv/lib/python3.10/site-packages/transformers/integrations/bitsandbytes.py:441, in _dequantize_and_replace(model, modules_to_not_convert, current_key_name, quantization_config, has_been_replaced)
439 model._modules[name] = new_module
440 if len(list(module.children())) > 0:
--> 441 _, has_been_replaced = _dequantize_and_replace(
442 module,
443 modules_to_not_convert,
444 current_key_name,
445 quantization_config,
446 has_been_replaced=has_been_replaced,
447 )
448 # Remove the last key for recursion
449 current_key_name.pop(-1)
File ~/projects/ml/venv/lib/python3.10/site-packages/transformers/integrations/bitsandbytes.py:441, in _dequantize_and_replace(model, modules_to_not_convert, current_key_name, quantization_config, has_been_replaced)
439 model._modules[name] = new_module
440 if len(list(module.children())) > 0:
--> 441 _, has_been_replaced = _dequantize_and_replace(
442 module,
443 modules_to_not_convert,
444 current_key_name,
445 quantization_config,
446 has_been_replaced=has_been_replaced,
447 )
448 # Remove the last key for recursion
449 current_key_name.pop(-1)
[... skipping similar frames: _dequantize_and_replace at line 441 (1 times)]
File ~/projects/ml/venv/lib/python3.10/site-packages/transformers/integrations/bitsandbytes.py:441, in _dequantize_and_replace(model, modules_to_not_convert, current_key_name, quantization_config, has_been_replaced)
439 model._modules[name] = new_module
440 if len(list(module.children())) > 0:
--> 441 _, has_been_replaced = _dequantize_and_replace(
442 module,
443 modules_to_not_convert,
444 current_key_name,
445 quantization_config,
446 has_been_replaced=has_been_replaced,
447 )
448 # Remove the last key for recursion
449 current_key_name.pop(-1)
File ~/projects/ml/venv/lib/python3.10/site-packages/transformers/integrations/bitsandbytes.py:425, in _dequantize_and_replace(model, modules_to_not_convert, current_key_name, quantization_config, has_been_replaced)
422 else:
423 state = None
--> 425 new_module.weight = torch.nn.Parameter(dequantize_bnb_weight(module.weight, state))
427 if bias is not None:
428 new_module.bias = bias
File ~/projects/ml/venv/lib/python3.10/site-packages/transformers/integrations/bitsandbytes.py:349, in dequantize_bnb_weight(weight, state)
346 return weight
348 if cls_name == "Params4bit":
--> 349 output_tensor = bnb.functional.dequantize_4bit(weight.data, weight.quant_state)
350 logger.warning_once(
351 f"The model is going to be dequantized in {output_tensor.dtype} - if you want to upcast it to another dtype, make sure to pass the desired dtype when quantizing the model through `bnb_4bit_quant_type` argument of `BitsAndBytesConfig`"
352 )
353 return output_tensor
File ~/projects/ml/venv/lib/python3.10/site-packages/bitsandbytes/functional.py:1333, in dequantize_4bit(A, quant_state, absmax, out, blocksize, quant_type)
1330 raise NotImplementedError(f"4-bit quantization data type {quant_type} is not implemented.")
1332 if quant_state is None:
-> 1333 assert absmax is not None and out is not None
1335 quant_state = QuantState(
1336 absmax=absmax,
1337 shape=out.shape,
(...)
1340 quant_type=quant_type,
1341 )
1343 else:
AssertionError:
Expected behavior
This code should work fine on cpu as on nvidia gpu.
System Info
ubuntu22.04, python3.10.4, intel cpu bitsandbytes==0.43.3 transformers==4.43.3
Reproduction
Error:
Expected behavior
This code should work fine on cpu as on nvidia gpu.