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LocalLLaMA
/
Qwen3.5-4B-graft16

Transformers
model-grafting
causal-encoder-decoder
prefix-kv
qwen3_5
Model card Files Files and versions
xet
Community

Instructions to use LocalLLaMA/Qwen3.5-4B-graft16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LocalLLaMA/Qwen3.5-4B-graft16 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("LocalLLaMA/Qwen3.5-4B-graft16", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3.5-4B-graft16
3.92 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
codelion's picture
codelion
scrub internal names and paths; card points at this repo
b01d597 verified 10 days ago
  • results
    scrub internal names and paths; card points at this repo 10 days ago
  • .gitattributes
    1.52 kB
    initial commit 11 days ago
  • README.md
    9.12 kB
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  • bench_ttft.py
    4.32 kB
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  • ced.pt
    3.92 GB
    xet
    upload final 11 days ago
  • ced_config.json
    1.14 kB
    upload final 11 days ago
  • log.jsonl
    50.7 kB
    Upload log.jsonl with huggingface_hub 11 days ago
  • meta.json
    1.46 kB
    scrub internal names and paths; card points at this repo 10 days ago
  • modeling_ced.py
    23 kB
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  • state.json
    129 Bytes
    upload final 11 days ago
  • trainable_only
    39 Bytes
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