some errores

[ahe168]

The argument trust_remote_code is to be used with Auto classes. It has no effect here and is ignored.
The load_in_4bit and load_in_8bit arguments are deprecated and will be removed in the future versions. Please, pass a BitsAndBytesConfig object in quantization_config argument instead.

ImportError Traceback (most recent call last)
Cell In[21], line 6
4 tokenizer = LlamaTokenizerFast.from_pretrained(base_model, trust_remote_code=True)
5 tokenizer.pad_token = tokenizer.eos_token
----> 6 model = LlamaForCausalLM.from_pretrained(base_model, trust_remote_code=True, device_map = "cuda:0", load_in_8bit = True,)
7 model = PeftModel.from_pretrained(model, peft_model)
8 model = model.eval()

File /opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py:3049, in PreTrainedModel.from_pretrained(cls, pretrained_model_name_or_path, config, cache_dir, ignore_mismatched_sizes, force_download, local_files_only, token, revision, use_safetensors, *model_args, **kwargs)
3046 hf_quantizer = None
3048 if hf_quantizer is not None:
-> 3049 hf_quantizer.validate_environment(
3050 torch_dtype=torch_dtype, from_tf=from_tf, from_flax=from_flax, device_map=device_map
3051 )
3052 torch_dtype = hf_quantizer.update_torch_dtype(torch_dtype)
3053 device_map = hf_quantizer.update_device_map(device_map)

File /opt/conda/lib/python3.10/site-packages/transformers/quantizers/quantizer_bnb_8bit.py:62, in Bnb8BitHfQuantizer.validate_environment(self, *args, **kwargs)
60 def validate_environment(self, *args, **kwargs):
61 if not (is_accelerate_available() and is_bitsandbytes_available()):
---> 62 raise ImportError(
63 "Using bitsandbytes 8-bit quantization requires Accelerate: pip install accelerate "
64 "and the latest version of bitsandbytes: pip install -i https://pypi.org/simple/ bitsandbytes"
65 )
67 if kwargs.get("from_tf", False) or kwargs.get("from_flax", False):
68 raise ValueError(
69 "Converting into 4-bit or 8-bit weights from tf/flax weights is currently not supported, please make"
70 " sure the weights are in PyTorch format."
71 )

ImportError: Using bitsandbytes 8-bit quantization requires Accelerate: pip install accelerate and the latest version of bitsandbytes: pip install -i https://pypi.org/simple/ bitsandbytes