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AdaFlash
/
Qwen3-8B-AdaFlash

Feature Extraction
Transformers
Safetensors
qwen3
speculative-decoding
diffusion-drafter
adaflash
custom_code
Model card Files Files and versions
xet
Community

Instructions to use AdaFlash/Qwen3-8B-AdaFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AdaFlash/Qwen3-8B-AdaFlash with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AdaFlash/Qwen3-8B-AdaFlash", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("AdaFlash/Qwen3-8B-AdaFlash", trust_remote_code=True)
    model = AutoModel.from_pretrained("AdaFlash/Qwen3-8B-AdaFlash", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-8B-AdaFlash
3.41 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
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d3LLM-model
Update README.md
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  • .gitattributes
    1.52 kB
    initial commit 14 days ago
  • README.md
    2.16 kB
    Update README.md about 15 hours ago
  • config.json
    1.21 kB
    Upload folder using huggingface_hub 14 days ago
  • model.safetensors
    2.1 GB
    xet
    Upload folder using huggingface_hub 14 days ago
  • training_state.pt
    1.31 GB
    xet
    Upload folder using huggingface_hub 14 days ago
  • version.txt
    1 Bytes
    Upload folder using huggingface_hub 14 days ago