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Cyleux/qwen38-mtp-head-fcbf16
qwen38-mtp-head-fcbf16 is a machine learning model from Cyleux. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Mixed-precision repack of the pinned MTP head EigenLabs/Qwen3.8-27B-MTP-bf16 (@26a328e0) for the Layr-Labs qwen-3.8-mtp-challenge declared-head surface: fc.weight kept in original bf16 (per-tensor session measurements…
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Updated Aug 17, 2026
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.safetensors314 MB · 100%
How the weights are stored.
BF1664.1M · 58%
From the Hugging Face model README
Mixed-precision repack of the pinned MTP head EigenLabs/Qwen3.8-27B-MTP-bf16
(@26a328e0) for the Layr-Labs qwen-3.8-mtp-challenge declared-head surface:
fc.weight kept in original bf16 (per-tensor session measurements attribute
the entire draft-acceptance cost of uniform 4-bit quantization to this one
tensor), the seven other 2D projections at affine 4-bit group-64 (MLX 0.32.0
mx.quantize, the geometry of the current frontier head), 1D norms bf16.
Every kernel this head dispatches is already exercised by promoted runs:
bf16 GEMV by the pinned head, 4-bit group-64 by the frontier head and the
backbone. The head only proposes — the pinned target verifies every emitted
token.