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akkikiki
/
LLaDA-8B-Instruct-judge-fs

Feature Extraction
Transformers
Safetensors
llada
Generated from Trainer
trl
sft
custom_code
Model card Files Files and versions
xet
Community

Instructions to use akkikiki/LLaDA-8B-Instruct-judge-fs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use akkikiki/LLaDA-8B-Instruct-judge-fs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="akkikiki/LLaDA-8B-Instruct-judge-fs", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("akkikiki/LLaDA-8B-Instruct-judge-fs", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LLaDA-8B-Instruct-judge-fs
16 GB
Ctrl+K
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  • 1 contributor
History: 11 commits
akkikiki's picture
akkikiki
Upload modeling_llada.py with huggingface_hub
e2b5d27 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • chat_template.jinja
    348 Bytes
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  • config.json
    1.44 kB
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  • configuration_llada.py
    12 kB
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  • generation_config.json
    157 Bytes
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  • model-00001-of-00004.safetensors
    5 GB
    xet
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  • model-00002-of-00004.safetensors
    5 GB
    xet
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  • model-00003-of-00004.safetensors
    5 GB
    xet
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  • model-00004-of-00004.safetensors
    1.04 GB
    xet
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  • model.safetensors.index.json
    25 kB
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  • modeling_llada.py
    60.7 kB
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