[Python] stucking at downloading shards for loading LLM model from huggingface

Discussão em 'Python' iniciado por Stack, Julho 17, 2025.

  1. Stack

    Stack Membro Participativo

    I am just using huggingface example to use their LLM model, but it stuck at the:

    downloading shards: 0%| | 0/5 [00:00<?, ?it/s]


    (I am using Jupiter notebook, python 3.11, and all requirements were installed)

    from transformers import AutoTokenizer, AutoModelForCausalLM
    import transformers
    import torch

    model = "tiiuae/falcon-40b-instruct"

    tokenizer = AutoTokenizer.from_pretrained(model)
    pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    torch_dtype=torch.bfloat16,
    trust_remote_code=True,
    device_map="auto",
    )
    sequences = pipeline(
    "Girafatron is obsessed with giraffes, the most glorious animal on the face of this Earth. Giraftron believes all other animals are irrelevant when compared to the glorious majesty of the giraffe.\nDaniel: Hello, Girafatron!\nGirafatron:",
    max_length=200,
    do_sample=True,
    top_k=10,
    num_return_sequences=1,
    eos_token_id=tokenizer.eos_token_id,
    )
    for seq in sequences:
    print(f"Result: {seq['generated_text']}")



    how can I fix it?

    Continue reading...

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