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Update model.py
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model.py
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@@ -1,10 +1,12 @@
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import torch
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from transformers import pipeline
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import os
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hf_token = os.getenv("LLM_token")
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os.environ["HUGGINGFACE_HUB_TOKEN"] = hf_token
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def load_model(model_path="meta-llama/Meta-Llama-3-8B-Instruct"):
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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@@ -12,6 +14,7 @@ def load_model(model_path="meta-llama/Meta-Llama-3-8B-Instruct"):
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"text-generation",
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model=model_path,
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model_kwargs={"torch_dtype": torch.float16} if torch.cuda.is_available() else {},
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device=device,
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token=hf_token
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)
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import torch
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from transformers import pipeline, BitsAndBytesConfig
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import os
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hf_token = os.getenv("LLM_token")
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os.environ["HUGGINGFACE_HUB_TOKEN"] = hf_token
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bnb_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4")
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def load_model(model_path="meta-llama/Meta-Llama-3-8B-Instruct"):
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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"text-generation",
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model=model_path,
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model_kwargs={"torch_dtype": torch.float16} if torch.cuda.is_available() else {},
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quantization_config=bnb_config,
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device=device,
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token=hf_token
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)
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