meta-llama

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Llama-3.1-8B-Instruct

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ValueError: rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'low_freq_factor': 1.0, 'high_freq_factor': 4.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}

The code I have used :

model_name = "meta-llama/Meta-Llama-3.1-8B-Instruct"
quantization_config = BitsAndBytesConfig(load_in_8bit=True)

quantized_model = AutoModelForCausalLM.from_pretrained(
model_name, device_map="auto", torch_dtype=torch.bfloat16, quantization_config=quantization_config)