Update app.py
Browse files
app.py
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@@ -28,6 +28,9 @@ login(token=hf_token)
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from datasets import Dataset
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from transformers import AutoTokenizer
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model_name = "meta-llama/Llama-2-7b-hf" # You can use a smaller one like "meta-llama/Llama-2-7b-chat-hf"
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@@ -59,7 +62,7 @@ model = AutoModelForCausalLM.from_pretrained(
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load_in_4bit=True, # Use 4-bit quantization for efficiency
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device_map="auto"
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#device_map="cpu",
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quantization_config=None
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)
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# Apply LoRA (efficient fine-tuning)
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from datasets import Dataset
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from transformers import AutoTokenizer
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import unsloth
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unsloth.optimize_all()
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model_name = "meta-llama/Llama-2-7b-hf" # You can use a smaller one like "meta-llama/Llama-2-7b-chat-hf"
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load_in_4bit=True, # Use 4-bit quantization for efficiency
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device_map="auto"
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#device_map="cpu",
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#quantization_config=None
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)
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# Apply LoRA (efficient fine-tuning)
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