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Update app.py
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app.py
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@@ -6,13 +6,10 @@ from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStream
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import gradio as gr
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from threading import Thread
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MODEL_LIST = ["meta-llama/Meta-Llama-3.1-
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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MODEL = os.environ.get("MODEL_ID")
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TITLE = "<h1><center>Meta-Llama3.1-405B</center></h1>"
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PLACEHOLDER = """
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<center>
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@@ -41,9 +38,9 @@ quantization_config = BitsAndBytesConfig(
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bnb_4bit_use_double_quant=True,
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bnb_4bit_quant_type= "nf4")
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tokenizer = AutoTokenizer.from_pretrained(
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model = AutoModelForCausalLM.from_pretrained(
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torch_dtype=torch.bfloat16,
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device_map="auto",
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quantization_config=quantization_config)
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import gradio as gr
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from threading import Thread
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MODEL_LIST = ["meta-llama/Meta-Llama-3.1-8B-Instruct"]
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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TITLE = "<h1><center>Meta-Llama3.1-8B</center></h1>"
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PLACEHOLDER = """
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<center>
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bnb_4bit_use_double_quant=True,
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bnb_4bit_quant_type= "nf4")
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tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
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model = AutoModelForCausalLM.from_pretrained(
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"meta-llama/Meta-Llama-3.1-8B-Instruct",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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quantization_config=quantization_config)
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