当你遇到 TypeError: __init__() got an unexpected keyword argument 'load_in_4bit' 这个错误时,通常意味着你在调用某个类的构造函数时,传递了一个该构造函数不接受的关键字参数 load_in_4bit。为了解决这个问题,你可以按照以下步骤进行: 确认错误来源: 查看引发错误的代码行,找到你调用构造函数并传递了 loa...
Using load_in_4bit makes the model extremely slow (with accelerate 0.21.0.dev0 and bitsandbytes 0.39.1, should be latest version and I installed from source) Using the following code from transformers import LlamaTokenizer, AutoModelForCausalLM, AutoTokenizer import torch from time import time...
model, _ = load_llama_model_4bit_low_ram( File "/home/username/.local/lib/python3.10/site-packages/alpaca_lora_4bit/autograd_4bit.py", line 249, in load_llama_model_4bit_low_ram model = accelerate.load_checkpoint_and_dispatch( File "/home/username/.local/lib/python3.10/site-packages/...
model = Net4Bit() model.load_state_dict(torch.load("mnist_model.pt")) get_model_size(model) print(model.model[2].weight) # Convert model = model.to(device) get_model_size(model) print(model.model[2].weight) # Run test(model, test_loader) 输出如下所示: Model size: 427.2890625 KB...
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bfloat16, low_cpu_mem_usage=True,load_in_8bit=True,trust_remote_code=True).eval() tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True) inputs = tokenizer.apply_chat_template([{"role": "user", "image": image, "content": question}], add_generation_prompt=True...