Unverified50% confidenceBenchmarkExact time
The 1-bit Dynamic GGUF version of Qwen3.8-Flash-Next can run on 75 GB of memory or unified memory, reducing the size by 79% compared to the original BF16 format while retaining 80% of top-1 accuracy.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/5/2026
First Seen
Valid until: 12/4/2026
Sources
Related Entities
Related Claims
UnverifiedQwen3-27B was officially released with a quantized model in GGUF format, enabling local deployment with a minimum of 8GB of VRAM.77% similarUnverifiedGGUF 量化格式可将FP16或BF16精度模型压缩至4-bit乃至2-bit精度72% similarVerifiedThe Qwen2.5 9B model can run smoothly on consumer-grade GPUs (such as those with 8GB of VRAM).71% similarVerifiedUsing GGUF Q4 quantization as a baseline, a 7B model requires approximately 4–6 GB of VRAM, a 13B model requires approximately 8–10 GB, and a 70B model requires more than 40 GB or multi-GPU parallelism.71% similarUnverifiedAfter INT4 quantization, the Qwen3-0.6B model file is only about 400 MB, retains approximately 95% of baseline capability, and an ordinary laptop CPU can achieve a generation speed of 10–30 tokens per second.70% similar
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