--- base_model: - Qwen/Qwen3.5-397B-A17B --- ## Updates - 5/19/2026: I've uploaded new quants that include the MTP Tensors (@ Q8_0). - 3/10/2026: I've uploaded new quants using the new fused Up + Gate conversion, this offers up to a +10% boost in prompt processing speed from my testing. ## Description This repo contains specialized MoE-quants for Qwen3.5-397B-A17B. 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 | 399.08 GiB (8.51 BPW) | Q8_0 | 3.486040 ± 0.018831 | +0.0501% | 0.003298 ± 0.000034 | | Q5_K_M | 280.05 GiB (5.97 BPW) | Q8_0 / Q5_K / Q5_K / Q6_K | 3.488222 ± 0.018848 | +0.1127% | 0.004782 ± 0.000042 | | Q4_K_M | 234.11 GiB (4.99 BPW) | Q8_0 / Q4_K / Q4_K / Q5_K | 3.496714 ± 0.018906 | +0.3565% | 0.008720 ± 0.000078 | | IQ4_XS | 183.48 GiB (3.91 BPW) | Q8_0 / IQ3_S / IQ3_S / IQ4_XS | 3.542040 ± 0.019138 | +1.6573% | 0.022898 ± 0.000190 | | IQ3_S | 142.87 GiB (3.05 BPW) | Q6_K / IQ2_S / IQ2_S / IQ3_S | 3.671774 ± 0.020020 | +5.3807% | 0.064287 ± 0.000503 | | IQ2_S | 129.74 GiB (2.77 BPW) | Q6_K / IQ2_XS / IQ2_XS / IQ3_XXS | 3.778894 ± 0.020751 | +8.4551% | 0.093763 ± 0.000714 | | IQ2_XXS | 120.47 GiB (2.57 BPW) | Q4_K / IQ2_XXS / IQ2_XXS / IQ3_XXS | 3.878830 ± 0.021458 | +11.3233% | 0.126053 ± 0.000896 | ![kld_graph](kld_data/01_kld_vs_filesize.png "Chart showing Pareto KLD analysis of quants") ![ppl_graph](kld_data/02_ppl_vs_filesize.png "Chart showing Pareto PPL analysis of quants")