Instructions to use zerodegress/Ternary-Bonsai-2-27B-DFlash2-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use zerodegress/Ternary-Bonsai-2-27B-DFlash2-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download zerodegress/Ternary-Bonsai-2-27B-DFlash2-mlx-4bit --local-dir Ternary-Bonsai-2-27B-DFlash2-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Ternary-Bonsai-2-27B-DFlash2 โ MLX 4-bit
MLX 4-bit affine quantization (group size 64) of the DFlash2 draft head from
ProCreations/Ternary-Bonsai-2-27B-DFlash2.
Drafts for prism-ml/Ternary-Bonsai-2-27B-mlx-2bit:
mlx_vlm.generate --model prism-ml/Ternary-Bonsai-2-27B-mlx-2bit \
--draft-model ZeroDegress/Ternary-Bonsai-2-27B-DFlash2-mlx-4bit --draft-kind dflash
| file | bytes | sha256 |
|---|---|---|
model.safetensors |
1,082,881,633 | fd9ac742b6c5aa063944c29f54ab3dbee135718d71e5cf8c15e2accfddd9bc7f |
config.json |
1,322 | 16f21748eb15146663898bd4fb9a1dfd0bedefa18632209e7f628b93f394760f |
Weights: Apache-2.0, from ProCreations.
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Model size
2B params
Tensor type
U32
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BF16 ยท
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