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arcee-ai
/
AFM-4.5B-Base-KDA-NoPE

Feature Extraction
Transformers
Safetensors
English
arcee_kda
kda
kimi-delta-attention
linear-attention
nope
hybrid-attention
distillation
research
custom_code
Model card Files Files and versions
xet
Community

Instructions to use arcee-ai/AFM-4.5B-Base-KDA-NoPE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arcee-ai/AFM-4.5B-Base-KDA-NoPE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="arcee-ai/AFM-4.5B-Base-KDA-NoPE", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("arcee-ai/AFM-4.5B-Base-KDA-NoPE", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
AFM-4.5B-Base-KDA-NoPE
10 GB
Ctrl+K
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  • 2 contributors
History: 4 commits
bartowski's picture
bartowski
Update README.md
295be1a verified 6 months ago
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  • config.json
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  • configuration_arcee_kda.py
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  • generation_config.json
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  • model-00001-of-00003.safetensors
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  • model.safetensors.index.json
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  • modeling_arcee_kda.py
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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