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Satgoy152
/
Muse-Glimmer-30B-DFlash2-Coding

Transformers
Safetensors
speculative-decoding
dflash2
dflash
coding
agentic-coding
speculators
vllm
muse-glimmer
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Satgoy152/Muse-Glimmer-30B-DFlash2-Coding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Satgoy152/Muse-Glimmer-30B-DFlash2-Coding with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Satgoy152/Muse-Glimmer-30B-DFlash2-Coding", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Muse-Glimmer-30B-DFlash2-Coding
11.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
Satgoy152's picture
Satgoy152
Update README.md
b908a62 verified about 2 months ago
  • checkpoints
    Publish clean inference checkpoint layout and model card about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    5.21 kB
    Update README.md about 2 months ago
  • config.json
    2.12 kB
    Publish clean inference checkpoint layout and model card about 2 months ago
  • config.py
    2.52 kB
    Publish clean inference checkpoint layout and model card about 2 months ago
  • model.safetensors
    5.54 GB
    xet
    Publish clean inference checkpoint layout and model card about 2 months ago