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FastFlowLM
/
Qwen3.8-27B-DFlash2-NPU2

Transformers
qwen3
speculative-decoding
dflash2
fastflowlm
npu
Model card Files Files and versions
xet
Community

Instructions to use FastFlowLM/Qwen3.8-27B-DFlash2-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FastFlowLM/Qwen3.8-27B-DFlash2-NPU2 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("FastFlowLM/Qwen3.8-27B-DFlash2-NPU2")
    model = AutoModel.from_pretrained("FastFlowLM/Qwen3.8-27B-DFlash2-NPU2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3.8-27B-DFlash2-NPU2
1.39 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
FastFlowLM's picture
FastFlowLM
Qwen3.8-27B-DFlash2-NPU2 for FastFlowLM 1.0.12
b1a3a68 verified about 15 hours ago
  • .gitattributes
    1.57 kB
    Qwen3.8-27B-DFlash2-NPU2 for FastFlowLM 1.0.12 about 15 hours ago
  • LICENSE
    11.4 kB
    Qwen3.8-27B-DFlash2-NPU2 for FastFlowLM 1.0.12 about 15 hours ago
  • MANIFEST.sha256
    398 Bytes
    Qwen3.8-27B-DFlash2-NPU2 for FastFlowLM 1.0.12 about 15 hours ago
  • README.md
    4.41 kB
    Qwen3.8-27B-DFlash2-NPU2 for FastFlowLM 1.0.12 about 15 hours ago
  • config.json
    1.24 kB
    Qwen3.8-27B-DFlash2-NPU2 for FastFlowLM 1.0.12 about 15 hours ago
  • configuration.json
    50 Bytes
    Qwen3.8-27B-DFlash2-NPU2 for FastFlowLM 1.0.12 about 15 hours ago
  • dflash_weight.q4nx
    1.39 GB
    xet
    Qwen3.8-27B-DFlash2-NPU2 for FastFlowLM 1.0.12 about 15 hours ago