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 tokenizer.json from Jakevin/clef-flash-ternary-mlx: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/Jakevin/clef-flash-ternary-mlx/resolve/main/tokenizer.json
- Command line
-
hf download hf://Jakevin/clef-flash-ternary-mlx/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Jakevin/clef-flash-ternary-mlx/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 777bcaa63794fa47b8f53680be9d6d176f1fcbd7ba03cdc6c3bae2b3d76b323f
- Size of remote file:
- 20 MB
- SHA256:
- 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
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