[Most Comprehensive Test] Deploying Qwen3.8 27B nvfp4 on V100 with vLLM + dFlash2: Decode speed improved by 3x, Prefill speed improved by 15x
［ninfer v100X2］v100 achieves new glories! qwen3.8 27b nvfp4 2000t/s prefill, 115t/s decode
[ninfer-V100X2] V100 achieves glory yet again, real-world usage non-benchmark scenario 183t/s decoding, 2500t/s prefill
V100 unlocked NVFP4, GLM5.3F insane output 145 toks
Dual-card v100, the strongest inference engine in history has arrived! First in the world, second in China.
Share my invention of new technology: Expert Custom Edition, qwen3.8-flush-next-W4A16-Modular, aggregated 2000/s, single stream 110/s
Tested NVIDIA V100 32GB VRAM + 64GB RAM running Strata Qwen Flash Next 128B Q2 XS, speed not too impressive
V100 boosts performance by 22,100%! Is NVLink the only viable path? MoE model tests reveal the truth.
125B vs 27B! Small model submits first, but the large model finds more problems?
Experience with 3080 modded 20G + Qwen3.8-27b + MiniMaxH3
Local model Qwen3.8 (choose 27B or flash-next-strata)
Test: Qwen3.8 Flash Next vs Qwen3.8 27B! Qwen3.8 Flash Next Effect
Qwen3.8-27B Local Deployment Practical Guide: Qwen's open-source release is absolutely insane!
Someone still running qwen3.8 27b with q4 quantization complaining about high hallucinations? A minute to explain what exactly is the difference between q4 q6 fp8 bf16 nvfp4!?
V100 32GB PCIe using llama.cpp locally inferencing Qwen3.8-27B on Windows, averaging nearly 50 tps — sharing the optimal settings and some tips
God-level open-source framework Strata! Free true closed-source level local 12/16g deployment Qwen 176B large model run through run fast! 48g memory running IQ3_XS, IQ2_XS actual test
V100 running Qwen3.8 27B Qianwen nvfp4 with speed over 50 tokens, about half the speed of Pro 6000d. In the current environment of soaring graphics card prices, it is probably the most cost-effective AI operation graphics card.
How I optimized the inference of qwen3.8-27b on a 7900 XTX for the best performance—detailed explanation here! Other models and setups can also use this as a reference!
llama.cpp Dual SIM local deployment Qwen3.8-27B, real test of reasoning speeds for multiple dual-card combinations! Extreme Combat Crimson Aggressor
amd yes! Using the 7900xtx to push qwen3.8-27b to 97t/s! 256K context with vision!
