Qwen3.8-Next on Strata and Qwen3.8-27B on llama.cpp evaluated on IQ3_S and UD-Q4_K_XL benchmarks; results show Next and 27B performance across multiple tasks
Read the original at www.reddit.com→Sampling: temp 1.0, top_p 0.95, top_k 20 for both. Run with evalscope over the OpenAI-compatible API: Qwen3.8-Next on Strata (MI50 32GB), Qwen3.8-27B on llama.cpp (RX 7900 XTX 24GB). Caveat: These are only a portion...
Original headline: "qwen3.8-flash-next-iq3_s vs -27B-GGUF:UD-Q4_K_XL"
Coverage timeline
- Oct 14, 16:13 UTC r/LocalLLaMA lead source qwen3.8-flash-next-iq3_s vs -27B-GGUF:UD-Q4_K_XL
- Oct 14, 20:18 UTC r/LocalLLaMA Qwen 3.8 Flash Next, DeepSeekV4 Flash and Time
- Oct 15, 08:11 UTC r/LocalLLaMA I tested Qwen3.8 27B KLD for 21 Models at 9 different KV quants that fit on 16GB VRAM (189 benchmarks).
- Oct 15, 19:52 UTC r/LocalLLaMA FP4 QAD quant of Qwen3.8-Flash-Next from Nvidia
- Oct 15, 20:20 UTC r/LocalLLaMA capy-flash: Qwen3.8-Flash-Next (125B MoE) in full NVFP4 on two 16 GB consumer GPUs
- Oct 16, 21:18 UTC r/LocalLLaMA Qwen3.8-Flash-Next-GSQ-RCO (IQ3_S): ~40-50 tok/sec decode & 1300-1500 tok/sec prefill at 131k ctx on 12GB VRAM + 32GB RAM + NVME
- Oct 16, 22:48 UTC r/LocalLLaMA I don't get the qwen 3.8 flash next hype
- Oct 17, 11:58 UTC r/LocalLLaMA Qwen Flash Next quant and temp comparison - performance vs task time vs quality