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model_name = "circulus/Llama-2-13b-llava-v1"
tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)
config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_compute_dtype=torch.bfloat16, bnb_4bit_use_double_quant=True)
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", quantization_config=config)
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Dataset used to train circulus/Llama-2-13b-llava-v1