Qwen3.6-27B KLDs - INTs and NVFPs

Reddit r/LocalLLaMA Models

Summary

Reddit post compares quantized Qwen3.6-27B variants (INT4, NVFP4, BF16-INT4) showing trade-offs between memory size and accuracy for different use-cases.

https://preview.redd.it/oe958ecy6twg1.png?width=1484&format=png&auto=webp&s=9649d1833be88ec140e2d4fb96b1a66b2bfe6522 Will do more, but here's a start, as you're chosing your models. Remember, USE-CASE is important: * Notice the larger size of THoTD NVFP versus the other. This is because THoTD is an NVFP4A16 versus NVFP4(A4). * NVFP4(A4) should stay in 4bit the whole time, so if you are doing batching, NVFP4(A4) may see better performance as batching occurs * Notice that huge size increase for Cyan from INT4 to BF16-INT4. * More food for thought. Mixed-precision is amazing, but takes more space. Is 0.02 accuracy worth losing 6GB of Context? Up to you to decide. As more come online I will add more to the graph. The more you know, the right quant for you, you grab the first time!!
Original Article

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