Unverified50% confidenceBenchmarkExact time
In actual tests of 8-bit and 4-bit (OQ4E) quantization of the same Qwen3 27B model based on the MLX framework, each won 5 out of 10 accuracy tests, resulting in a tie.
1
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50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
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UnverifiedQwen3 27B achieved a 100% pass rate in the 256K long-context memory retrieval test (needle in a haystack), with all 15 runs being accurate.70% similarUnverifiedQwen3 27B's scores on several programming and agent benchmarks surpassed those of Claude Opus 4.6.70% similarUnverifiedBilibili developer Luke conducted a cross-evaluation test of the Qwen3 series 27B model released by Unsloth across multiple quantization levels from Q1 to Q8.70% similarUnverifiedThe tests focused on the largest KXL variant at each quantization level (e.g., Q2KXL, Q3KXL, Q4KXL), all uniformly using Q8 inference high-precision mode.69% similarUnverifiedRunning quantized models from the Qwen3 series on a Mac M3 Ultra, inference speed reaches approximately 34 tokens/s under Q8 quantization.69% similar
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