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jetson-models
/
internlm2-chat-7b-4-bit

Feature Extraction
Transformers
PyTorch
internlm2
custom_code
Model card Files Files and versions
xet
Community

Instructions to use jetson-models/internlm2-chat-7b-4-bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jetson-models/internlm2-chat-7b-4-bit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jetson-models/internlm2-chat-7b-4-bit", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jetson-models/internlm2-chat-7b-4-bit", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
internlm2-chat-7b-4-bit
5.28 GB
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  • 1 contributor
History: 2 commits
LemonKAI's picture
LemonKAI
Upload 16 files
2b872f2 verified over 2 years ago
  • .gitattributes
    1.52 kB
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  • README.md
    28 Bytes
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  • config.json
    910 Bytes
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  • configuration_internlm2.py
    7.02 kB
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  • generation_config.json
    132 Bytes
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  • inputs_stats.pth
    10.1 MB
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  • key_stats.pth
    223 kB
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  • modeling_internlm2.py
    60 kB
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  • outputs_stats.pth
    16.7 MB
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  • pytorch_model-00001-of-00003.bin
    1.98 GB
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  • pytorch_model-00002-of-00003.bin
    1.98 GB
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  • pytorch_model-00003-of-00003.bin
    1.29 GB
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  • pytorch_model.bin.index.json
    44.2 kB
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  • special_tokens_map.json
    713 Bytes
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  • tokenization_internlm2.py
    8.81 kB
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  • tokenizer.model
    1.48 MB
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  • tokenizer_config.json
    2.35 kB
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  • value_stats.pth
    224 kB
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