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Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality-FP16
Qwen3.6-27B-MTPLX-Optimized-Quality-FP16 is a machine learning model from Youssofal. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mtplx. The card lists the license as apache-2.0.
This is the FP16 sibling artifact for Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality. It is intended for MTPLX's device-aware default routing on older Apple Silicon systems where FP16 may be preferable to BF16.
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From the Hugging Face model README
This is the FP16 sibling artifact for Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality. It is intended for MTPLX's device-aware default routing on older Apple Silicon systems where FP16 may be preferable to BF16.
MTPLX policy:
mtplx start and the MTPLX app auto-selects this FP16 artifact.--model always overrides automatic routing.The artifact preserves packed integer/quantized tensors (8-bit affine, group size 64) and converts BF16 floating tensors to FP16. See MTPLX_FP16_CONVERSION_MANIFEST.json for tensor-level conversion details and SHA256 checksums.
Validation (2026-07-07, M5 Max): last-position logits vs the BF16 parent agree at argmax on 16/16 checked positions (mean top-20 overlap 0.99); a greedy 30-token continuation matches the parent exactly. Under the MTPLX turbo profile the artifact measured 2.5x decode over its own true-AR baseline with snapshot-verified arms.
This model card is deliberately not a universal speed claim. Hardware-specific benchmarks should be reported separately.