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viethq188
/
Qwen-14B-math-8bit

Feature Extraction
Transformers
PyTorch
qwen
custom_code
8-bit precision
gptq
Model card Files Files and versions
xet
Community
1

Instructions to use viethq188/Qwen-14B-math-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use viethq188/Qwen-14B-math-8bit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="viethq188/Qwen-14B-math-8bit", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("viethq188/Qwen-14B-math-8bit", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen-14B-math-8bit
16 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
viethq188's picture
viethq188
update model
f2fe328 over 2 years ago
  • .gitattributes
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  • README.md
    28 Bytes
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  • config.json
    1.45 kB
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  • configuration_qwen.py
    2.35 kB
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  • cpp_kernels.py
    1.92 kB
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  • generation_config.json
    250 Bytes
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  • modeling_qwen.py
    55.8 kB
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  • pytorch_model.bin
    16 GB
    xet
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  • quantize_config.json
    211 Bytes
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  • qwen.tiktoken
    2.56 MB
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  • qwen_generation_utils.py
    14.6 kB
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  • special_tokens_map.json
    122 Bytes
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  • tokenization_qwen.py
    9.61 kB
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  • tokenizer_config.json
    381 Bytes
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