Qwen3.8 27B 4-bit quantization (17 GB) maintains parity with BF16 on Terminal-Bench 2.1, fitting on 24 GB GPUs with 64k context. Performance collapses at 1-bit, dropping to random chance levels on GPQA Diamond, while 8-bit users report perceived intelligence degradation.
HOW THIS AFFECTS YOU
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builderUse 4-bit GGUF quantizations to run capable models on consumer hardware like the RTX 4090.
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researcherObserve the performance cliff between 2-bit and 4-bit quantization levels in large models.