Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality-FP16

🤗 Hugging Face 来源apache-2.027.4B 参数55 GBsafetensors✓ 8 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality-FP16 ./model-folder
需要做种者 →

Qwen3.6 27B MTPLX Optimized Quality FP16

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:

  • M1/M2 Apple Silicon: an Optimized Quality pick in mtplx start and the MTPLX app auto-selects this FP16 artifact.
  • M3/M4/M5 and unknown hardware: the BF16 Optimized-Quality parent stays the default.
  • Explicit --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.