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metadata
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation

Qwen3-Coder-480B-A35B-Instruct_MXFP4

This checkpoint is a variant of Qwen3-Coder-480B-A35B-Instruct, 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 ~72% size reduction compared to the original BF16 checkpoint.

Accuracy Comparison

Model GSM8K (strict-match) GSM8K (flexible-extract)
Qwen3-Coder-480B-A35B-Instruct (BF16) 89.16% ± 0.86% 90.52% ± 0.81%
Qwen3-Coder-480B-A35B-Instruct_MXFP4 89.99% ± 0.83% 90.75% ± 0.80%

Checkpoint Size

Model Size Reduction
Qwen3-Coder-480B-A35B-Instruct (BF16) 895 GB -
Qwen3-Coder-480B-A35B-Instruct_MXFP4 255 GB 72% smaller