OSFP4 Preprint Proposes Joint Smoothing and Scaling Optimization for NVFP4 Quantization
An arXiv preprint dated October 6 2026 introduces OSFP4 a quantization scheme that jointly optimizes diagonal smoothing entries and block scales to minimize squared…

- OSFP4 optimizes a diagonal smoothing matrix and block scales together by analyzing a multiplicative-dither FP4 quantizer to account for round-to-nearest or GPTQ-style rounding.
- The preprint reports that OSFP4 achieves the highest average accuracy among evaluated competitors while retaining 94-97 percent of vendor NVFP4 prefill throughput on measured workloads.
- As this is an abstract-only preprint full methodological details experimental setups and independent replication are unavailable limiting assessment of the method's scope.
Core Method in the OSFP4 Scheme
The preprint describes Optimized Smoothing and Scaling for NVFP4. For each linear projection the approach applies a diagonal smoothing matrix with entries optimized to reduce the squared error of the quantized matrix product.
Optimization jointly considers the smoothing values and block scales. The authors facilitate this by replacing the fixed deterministic quantizer with a multiplicative-dither version which enables analysis of the rounding procedure whether round-to-nearest or successive interference cancellation.
Reported Performance
According to the abstract OSFP4 attains the highest average accuracy in the tested quantization settings compared with evaluated competitors.
The method preserves approximately 94-97 percent of vendor NVFP4 prefill throughput on the workloads examined. These results are presented as the authors' experimental findings within the preprint.
Evidence Limitations
This report is based solely on the arXiv metadata and abstract. The full paper is not available so specific model scales detailed experimental conditions implementation steps and complete results cannot be reviewed or replicated here.
Claims of superiority are therefore confined to the comparisons stated in the abstract. Practitioners should consult the released code to explore the technique further.


