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Jakevin
/
kev-4b-ternary-mlx

MLX
Safetensors
qwen3_5
kev
decision-model
ternary
mixed-precision
post-training-quantization
experimental
Model card Files Files and versions
xet
Community

Instructions to use Jakevin/kev-4b-ternary-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use Jakevin/kev-4b-ternary-mlx with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download Jakevin/kev-4b-ternary-mlx --local-dir kev-4b-ternary-mlx
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
kev-4b-ternary-mlx / runtime /scripts
40.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Jakevin's picture
Jakevin
Kev-4B v2.0: D3 sensitivity-allocated mixed ternary/3-bit layout (v1.0 kept at tag v1.0)
28fd117 verified 19 days ago
  • build_packed_model.py
    7.37 kB
    Kev-4B v2.0: D3 sensitivity-allocated mixed ternary/3-bit layout (v1.0 kept at tag v1.0) 19 days ago
  • mlx_long_states.py
    29.7 kB
    Publish standalone Kev-4B ternary MLX v0.1.0 experimental 20 days ago
  • profile_packed_model.py
    3.54 kB
    Publish standalone Kev-4B ternary MLX v0.1.0 experimental 20 days ago