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base_model:
  - Qwen/Qwen3.5-35B-A3B

Updates

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 Qwen3.5-35B-A3B. 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
Q5_K_M 24.45 GiB (6.06 BPW) Q8_0 / Q5_K / Q5_K / Q6_K 6.534165 ± 0.041552 -0.0182% 0.006174 ± 0.000108
Q4_K_M 20.62 GiB (5.11 BPW) Q8_0 / Q4_K / Q4_K / Q5_K 6.564172 ± 0.041821 +0.4409% 0.010121 ± 0.000122
IQ4_XS 16.40 GiB (4.06 BPW) Q8_0 / IQ3_S / IQ3_S / IQ4_XS 6.632992 ± 0.042286 +1.4940% 0.024130 ± 0.000250
IQ3_S 12.65 GiB (3.14 BPW) Q8_0 / IQ2_S / IQ2_S / IQ3_S 6.920534 ± 0.044619 +5.8937% 0.061926 ± 0.000402

kld_graph ppl_graph