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SGLang
/
DeepSeek-V3-NextN

Transformers
Safetensors
deepseek_v3
custom_code
text-generation-inference
fp8
Model card Files Files and versions
xet
Community
4

Instructions to use SGLang/DeepSeek-V3-NextN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SGLang/DeepSeek-V3-NextN with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, DeepseekV3ForCausalLMNextN
    
    tokenizer = AutoTokenizer.from_pretrained("SGLang/DeepSeek-V3-NextN", trust_remote_code=True)
    model = DeepseekV3ForCausalLMNextN.from_pretrained("SGLang/DeepSeek-V3-NextN", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
DeepSeek-V3-NextN
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  • 2 contributors
History: 2 commits
root
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  • .gitattributes
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  • LICENSE-CODE
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  • LICENSE-MODEL
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  • README.md
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  • README_WEIGHTS.md
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  • config.json
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  • configuration_deepseek.py
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  • model.safetensors.index.json
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  • modeling_deepseek.py
    75.8 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
    3.13 kB
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