This is what Qwen 3.8 27b is capable of

Try it here: https://ocean.blackbeardlabs.dev/ Model: Qwen 3.8 27b Q8_X_KL Unsloth Hardware: 3 x RTX3090 Harness: DeepSeek Harness Prompt: /goal I want you to create a JavaScript + Node.js WebGL project that renders a highly realistic real-time ocean in the browser. Use JavaScript only, no TypeScript. You may use WebGL2, GLSL, and Three.js. The ocean should include realistic waves, vertex displacement, Fresnel reflections, sun highlights, sky/environment reflection, foam/whitecaps, horizon treatment, atmospheric effects, and adjustable wind/wave/sun parameters. Keep it suitable for a real-time browser game, GPU-driven where possible, and organize the code cleanly instead of putting everything in one file. Task completion time: ~4 Hours submitted by /u/BlackBeardAI [link] [comments]

Qwen 3.8 27b with DSH(DeepSeek Harness) is Amazing!! Experiences so far and perfomance.
Been tweaking my Qwen 3.8 setup, up to 45+ steady T/ps at 8bit quant. Realised I'm now top T/ps for this model+ctx across all benchmarked M-series chips. Full args linked below, happy to discuss as this was a pain of trial and error.
qwen38-27b-rtx3090 (https://github.com/syv-ai/qwen38-27b-rtx3090) is extremely good with deepseek harness.
[[benchmark-optimal-dflash2-quants-for-speed-and-context-size-|[Benchmark] Optimal DFlash2 quants for speed and context size, 5090 RTX, llama.cpp, Qwen 3.8 27B Dynamic3 Unsloth. Comparison with MTP]]

Source: r/LocalLLaMA | 2026-08-24

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