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WenxinChen66
/
DeepSeek-R1-0528-NextN-Channel-INT8

Transformers
Safetensors
deepseek_v3
custom_code
text-generation-inference
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use WenxinChen66/DeepSeek-R1-0528-NextN-Channel-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WenxinChen66/DeepSeek-R1-0528-NextN-Channel-INT8 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, DeepseekV3ForCausalLMNextN
    
    tokenizer = AutoTokenizer.from_pretrained("WenxinChen66/DeepSeek-R1-0528-NextN-Channel-INT8", trust_remote_code=True)
    model = DeepseekV3ForCausalLMNextN.from_pretrained("WenxinChen66/DeepSeek-R1-0528-NextN-Channel-INT8", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
DeepSeek-R1-0528-NextN-Channel-INT8
15.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
WenxinChen66's picture
WenxinChen66
Update README.md
bab455d verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • LICENSE
    1.06 kB
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  • README.md
    15.1 kB
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  • config.json
    2.95 kB
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  • configuration.json
    48 Bytes
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  • configuration_deepseek.py
    9.9 kB
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  • generation_config.json
    171 Bytes
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  • model.safetensors.index.json
    155 kB
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  • modeling_deepseek.py
    75.7 kB
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  • nextn_layer_parameters.safetensors
    15.4 GB
    xet
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  • tokenizer.json
    7.85 MB
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  • tokenizer_config.json
    3.96 kB
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