Ridiculous! Running Qwen3.8-27B on 16GB VRAM, with 126K context, 40 tokens per second, and even bf16 quality KV cache precision
Qwen3.8-27B disrecommend, meaningless for average users.
Qwen3.8-27B is officially open source! Intel running Lowest 8GB VRAM required is enough to run it. Can it rival the top closed source models? Localization test recap | Zero Degree Explanation
Qwen3.8 is so powerful, I've been playing with it for days and just can't stop. So this is the wisdom of Lady Qianwen?
I'm amazed - local 16G runs Qwen38-27B-UD-IQ3_XXS
Running Qwen3.8-27B on a single 16GB graphics card, local AI is really good!
Qwen 3.8 27B vs DeepSeek V4 Flash: Running the Same Apps Locally
Highly recommend the amazing project Strata! Running Qwen3.8 Flash Next on a 12G GPU! Speed 93t/s!
[Most Comprehensive Test] Deploying Qwen3.8 27B nvfp4 on V100 with vLLM + dFlash2: Decode speed improved by 3x, Prefill speed improved by 15x
Looking for the Best Qwen3.8 27B Plan! DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Here Review
Qwen3.8-27B local deployment tested, can run with as little as 8GB VRAM
【Save Money Tips】A 500-yuan NVIDIA V100 16G can run vllm: qwen3.8 27b, with speeds up to 200 tokens/s
The authoritative answer to the Qwen3.8 27B you care about: Q4≈Q3 quantization, Q2 is also usable! Don’t pick the thinking intensity randomly!
Kvmem + Qwen3.8B: Achieving Big Breakthrough in Context with 16GB VRAM
Local Deployment Qwen3.8 27B: The Strictest Pelican Test Is Here
Local deployment of qwen3.8-27b-gsq is amazing. I recommend it to AI enthusiasts.
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.
llama.cpp Dual SIM local deployment Qwen3.8-27B, real test of reasoning speeds for multiple dual-card combinations! Extreme Combat Crimson Aggressor
Ordinary people can also play Local AI Deployment! Qianwen 3.8 27B + DeepSeek Harness installation tutorial, follow along and you can run it
Token freedom! Qwen3.8 27B local deployment, only three steps, 16G VRAM, 256K context, 50+ t/s, KVMEM branch
