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Update app.py
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app.py
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@@ -8,10 +8,14 @@ from huggingface_hub import snapshot_download
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from transformers import AutoModelForCausalLM, AutoTokenizer
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#
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# MODEL_PATH = "THUDM/cogvlm2-llama3-chat-19B"
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MODEL_PATH = "THUDM/cogvlm2-llama3-chat-19B-int4"
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os.environ['HF_HUB_ENABLE_HF_TRANSFER'] = '1'
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MODEL_PATH = snapshot_download(MODEL_PATH)
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move_cache()
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@@ -19,10 +23,14 @@ move_cache()
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DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'
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TORCH_TYPE = torch.bfloat16 if torch.cuda.is_available() and torch.cuda.get_device_capability()[0] >= 8 else torch.float16
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tokenizer = AutoTokenizer.from_pretrained(
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MODEL_PATH,
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trust_remote_code=True
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)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_PATH,
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torch_dtype=TORCH_TYPE,
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# https://huggingface.co/THUDM/cogvlm2-llama3-chat-19B
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# MODEL_PATH = "THUDM/cogvlm2-llama3-chat-19B"
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# https://huggingface.co/THUDM/cogvlm2-llama3-chat-19B-int4
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MODEL_PATH = "THUDM/cogvlm2-llama3-chat-19B-int4"
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### DOWNLOAD ###
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os.environ['HF_HUB_ENABLE_HF_TRANSFER'] = '1'
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MODEL_PATH = snapshot_download(MODEL_PATH)
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move_cache()
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DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'
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TORCH_TYPE = torch.bfloat16 if torch.cuda.is_available() and torch.cuda.get_device_capability()[0] >= 8 else torch.float16
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## MODEL ##
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tokenizer = AutoTokenizer.from_pretrained(
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MODEL_PATH,
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trust_remote_code=True
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)
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## TOKENIZER ##
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_PATH,
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torch_dtype=TORCH_TYPE,
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