Instructions to use verathos-ai/kev-4b-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use verathos-ai/kev-4b-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download verathos-ai/kev-4b-mlx-fp16 --local-dir kev-4b-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
kev-4b, MLX package (float16)
kev-4b at revision 6cfce5c2fa4b4bd64026336ab649c5ca78857d52, packaged for
the Verathos private lane app on Apple silicon: the backbone with the adapter merged (float16; the DeltaNet decay and
gated-norm weights float32), the pointer head (float32), the tokenizer, and package.json with every file's SHA-256
and size. The package digest (SHA-256 of package.json) is a590b5aec27e91b6732ac3227d0859e3c5817fd60b4dec3e6e3ad158e1752465.
License: Apache-2.0, as kev-4b and its base model Qwen3.5-4B-Base.
Model size
4B params
Tensor type
F16
·
F32 ·
Hardware compatibility
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