Update quantizer_bnb_4bit.py: In the ValueError string there should be "....you need to set llm_int8_enable_fp32_cpu_offload=True...." instead of "load_in_8bit_fp32_cpu_offload=True". (#30013)

* Update quantizer_bnb_4bit.py

There is an mistake in ValueError on line 86 of quantizer_bnb_4bit.py. In the error string there should be "....you need to set `llm_int8_enable_fp32_cpu_offload=True`...." instead of "load_in_8bit_fp32_cpu_offload=True". I think you updated the BitsAndBytesConfig() arguments, but forgot to change the ValueError in quantizer_bnb_4bit.py.

* Update quantizer_bnb_4bit.py

Changed ValueError string "...you need to set load_in_8bit_fp32_cpu_offload=True..." to "....you need to set llm_int8_enable_fp32_cpu_offload=True...."

Author: miRx923

src/transformers/quantizers/quantizer_bnb_4bit.py

@@ -87,7 +87,7 @@ def validate_environment(self, *args, **kwargs):
                     """
                     Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the
                     quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules
-                    in 32-bit, you need to set `load_in_8bit_fp32_cpu_offload=True` and pass a custom `device_map` to
+                    in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to
                     `from_pretrained`. Check
                     https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu
                     for more details.

src/transformers/quantizers/quantizer_bnb_8bit.py

@@ -87,7 +87,7 @@ def validate_environment(self, *args, **kwargs):
                     """
                     Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the
                     quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules
-                    in 32-bit, you need to set `load_in_8bit_fp32_cpu_offload=True` and pass a custom `device_map` to
+                    in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to
                     `from_pretrained`. Check
                     https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu
                     for more details.