@9hills: Qwen3.8-27B Local Deployment Guide 1. Q4 has basically no quality loss, can even use Q3 2. Use Unsloth's GGUF. 3. Turn on low thinking. 4. Enable dflash2
Summary
This article provides a local deployment guide for the Qwen3.8-27B model, recommends using Q4 quantization and the Unsloth GGUF tool, and shares performance test results compared to the FP8 benchmark.
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Cached at: 08/22/26, 01:19 AM
Qwen3.8-27B Local Deployment Guide
- Q4 quantization results in negligible quality loss; even Q3 can be viable.
- Use Unsloth’s GGUF format.
- Set thinking to low mode.
- Enable dflash2.
Alexey Fateev (@superalesha): Main result. At xhigh every quant landed between 88.0 and 90.0% pass@1 on the full suite:
AWQ INT4: 90.0% NVFP4: 89.3% GGUF Q4_K_M: 89.3% FP8: 88.7% NInfer: 88.0%
Yes, the 4 bit quants scored above the FP8 baseline. McNemar says its a statistical tie, first and last place
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