CoolFace
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aws-prototyping/Qwen3-235B-A22B-Thinking-2507_MXFP4

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face
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Qwen3-235B-A22B-Thinking-2507_MXFP4

This checkpoint is a variant of Qwen3-235B-A22B-Thinking-2507, where expert weights have been quantized to MXFP4 format similarly to gpt-oss-20b and gpt-oss-120b.

For quantizing weights we used the function downcast_to_mxfp from triton-kernels.

The checkpoint might come with a small drop in accuracy, but has ~71% size reduction compared to the original BF16 checkpoint.

Accuracy Comparison

ModelGSM8K (strict-match)GSM8K (flexible-extract)
Qwen3-235B-A22B-Thinking-2507 (BF16)62.09% ± 1.34%68.31% ± 1.28%
Qwen3-235B-A22B-Thinking-2507_MXFP461.56% ± 1.34%63.68% ± 1.32%

Checkpoint Size

ModelSizeReduction
Qwen3-235B-A22B-Thinking-2507 (BF16)438 GB-
Qwen3-235B-A22B-Thinking-2507_MXFP4128 GB71% smaller