| base_model: | |
| - stepfun-ai/Step-3.5-Flash | |
| ## Updates | |
| - 6/3/2026: I've updated all of the quants to include the updated GGUF conversion + MTP heads (as Q8_0) | |
| This repo contains specialized MoE-quants for Step-3.5-Flash. The idea being that given the huge size of the FFN tensors compared to the rest of the tensors in the model, it should be possible to achieve a better quality while keeping the overall size of the entire model smaller compared to a similar naive quantization. To that end, the quantization type default is kept in high quality and the FFN UP + FFN GATE tensors are quanted down along with the FFN DOWN tensors. | |
| | Quant | Size | Mixture | PPL | 1-(Mean PPL(Q)/PPL(base)) | KLD | | |
| | :----- | :-------------------- | :------------------------------- | :------------------ | :------------------------ | :------------------ | | |
| | Q8_0 | 197.43 GiB (8.51 BPW) | Q8_0 | 2.419187 ± 0.011093 | +0.1197% | 0.005594 ± 0.000041 | | |
| | Q5_K_M | 138.83 GiB (5.98 BPW) | Q8_0 / Q5_K / Q5_K / Q6_K | 2.431812 ± 0.011175 | +0.6421% | 0.015249 ± 0.000098 | | |
| | Q4_K_M | 116.22 GiB (5.01 BPW) | Q8_0 / Q4_K / Q4_K / Q5_K | 2.477162 ± 0.011502 | +2.5190% | 0.040282 ± 0.000237 | | |
| | IQ4_XS | 91.31 GiB (3.93 BPW) | Q8_0 / IQ3_S / IQ3_S / IQ4_XS | 2.685042 ± 0.012863 | +11.1222% | 0.127994 ± 0.000696 | | |
| | IQ3_S | 70.89 GiB (3.05 BPW) | Q6_K / IQ2_S / IQ2_S / IQ3_S | 3.313628 ± 0.017314 | +37.1367% | 0.355228 ± 0.001705 | | |
| | IQ2_S | 64.43 GiB (2.78 BPW) | Q6_K / IQ2_XS / IQ2_XS / IQ3_XXS | 3.772340 ± 0.020688 | +56.1208% | 0.488752 ± 0.002225 | | |
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