MLX
Safetensors
qwen3_5
clef
ternary
quantized
gptq
mixed-bit
structured-output
classification
8-bit precision
Instructions to use Jakevin/clef-flash-ternary-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Jakevin/clef-flash-ternary-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Jakevin/clef-flash-ternary-mlx --local-dir clef-flash-ternary-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download MANIFEST.json from Jakevin/clef-flash-ternary-mlx: direct link, hf CLI and curl.
- Browser
- Download file 2.37 kB
-
https://huggingface.co/Jakevin/clef-flash-ternary-mlx/resolve/main/MANIFEST.json
- Command line
-
hf download hf://Jakevin/clef-flash-ternary-mlx/MANIFEST.json
-
curl -L -o MANIFEST.json https://huggingface.co/Jakevin/clef-flash-ternary-mlx/resolve/main/MANIFEST.json
2.37 kB
| { | |
| "variant": "text", | |
| "version": "v2.0", | |
| "format": "clef-mkl-v1", | |
| "alloc": "b31", | |
| "files": { | |
| "LICENSE": { | |
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| "sha256": "bbedc3fda3305820b977265f01b8619d87570a6739de3a5582c3464840f1e57a" | |
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| "source": "Cloudflare/clef-flash@17f0b0ad64efb65d273590632833508766b2aae6", | |
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| "alloc": "/Volumes/1Tb/projects/opend/kev/runs/clef-mkl-20261007/alloc/b31.json", | |
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| "text_bytes": 3126381175 | |
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