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pixelkaiser/Huihui-ThinkingCap-Qwen3.6-27B-abliterated-MLX-4bit-MTP
Huihui-ThinkingCap-Qwen3.6-27B-abliterated-MLX-4bit-MTP is a image-text-to-text model from pixelkaiser. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
MTPLX-compatible conversion of huihui-ai/Huihui-ThinkingCap-Qwen3.6-27B-abliterated, pinned to revision 44f63da.
Downloads · 30 days
138
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All-time downloads
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27.4B
16.9 GB on disk
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.safetensors16.9 GB · 100%
How the weights are stored.
U3226.9B · 98%
From the Hugging Face model README
MTPLX-compatible conversion of huihui-ai/Huihui-ThinkingCap-Qwen3.6-27B-abliterated, pinned to revision 44f63da.
Runtime-specific artifact: do not load this repository in LM Studio. LM Studio flattens the MTPLX sidecar into its target directory, causing the target loader to reject the 15
mtp.*tensors. For the recommended MTP experience, use the oMLX Native-MTP model; oMLX is the faster, more mature integrated path for this model.
mtp/weights.safetensors.pip install -U mtplx
mtplx run --model pixelkaiser/Huihui-ThinkingCap-Qwen3.6-27B-abliterated-MLX-4bit-MTP --depth 3 "Hello"
MTPLX Forge classified this artifact as verified-native. A bounded 32-token M4 Max verification measured 24.94 tok/s AR and 46.02 tok/s at MTP depth 3 (1.85x); treat this as a packaging smoke, not a general benchmark.
This is an abliterated model with reduced safety behavior. Review the upstream model card before use.