Unverified50% confidenceBenchmarkExact time
Voodoo Dynamic Quant has been demonstrated to reach SOTA performance in extreme quantization compression scenarios for the Qwen3.5 series of small GGUF models.
1
Sources
50%
Confidence
Long-term
Relevance
9/15/2026
First Seen
Sources
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Related Claims
UnverifiedThe Qwen3.8-27B model is available in multiple formats including Safetensors, GGUF, NVFP4, NVFP4 GGUF variants, and GPTQ-Int4 quantized versions.64% similarVerifiedThe Unsloth team released a new Qwen3.8-27B GGUF model based on the Dynamic v3 quantization scheme, achieving an additional 10% improvement in top-1% accuracy while maintaining the same model size.63% similarUnverifiedQwythos-9B is built on top of the uncensored Qwen 3.5 base model.63% similarVerifiedQuantization compresses neural network weights from high-precision floating-point numbers (such as FP32 and FP16) to low-bit integers (such as INT8 and INT4), with modern quantization schemes including GPTQ, AWQ, and GGUF's K-quant series63% similarUnverifiedSeries such as Qwen2.5 and Gemma3 have already released 1B–3B quantized versions optimized specifically for edge scenarios.60% similar
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