Qwopus3.6 27B v2 INT4 W4A16 Autoround Quantized version of Jackrong/Qwopus3.6 27B v2 using Autoround algorithm with no calibrarion dataset Quantization cmd: Layers kept at FP16: MTP. model.language model.embed tokens model.visual. input layernorm post attention layernorm q norm k norm conv1d linear attn.norm Evaluation (WIP) GSM 8K (Full dataset 1319 samples) Model Size (GB) Accuracy (flexible extract / strict match) Qwen/Qwen3.6 27B 0.6649 / 0.6732 Jackrong/Qwopus3.6 27B v2 52 0.8256 / 0.8370 XReyRobert/Qwopus3.6 27B v2 GPTQ Pro v1 18 0.7491 / 0.8127 mconcat/Qwopus3.6 27B v2 AWQ 4bit 26 0.7195 / 0.7331 JC1DA/Qwopus3.6 27B v2 INT4 W4A16 Autoround 19 0.7832 / 0.8036 MMLU PRO+ (coming soon)
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