Qwen3.8-Flash-Next 177B running at 11–15 tok/s on a single RTX 5070 12GB + 32GB RAM DDR4

[MohammadHaishemKhawaja]

Benchmarking an LLM here with a NVIDIA RTX 5070 12 GB VRAM here

I had been working on a llama.cpp based expert streaming setup for Qwen3.8-Flash-Next 177B (UD-IQ3_XXS) on Windows. Benchmark is about 11.5 tok/s, up from roughly 7 tok/s on the inherited setup. In normal conversations I’ve seen 14–15 tok/s, and a long coding prompt generated 4,892 tokens at 10.15 tok/s and produced a working single-file Snake game.

Hardware: RTX 5070 12GB
32GB DDR4-2400
Ryzen 5 5600GT PCIe Gen3 Windows

The main gains came from fixing Windows I/O queue-depth issues, using one file handle per worker, and building a page-locked hot-expert tier so the GPU can pull hot expert weights more efficiently.

(In the video its around 16 minutes for 10k tokens and 10.41 tok/s

Output is quality gated against the control model and the published benchmark uses a heat file built from a separate prompt set.

Demos:

https://www.youtube.com/watch?v=cOPumMlyj_4

https://www.youtube.com/watch?v=rc-uTjVpXM8

In the GitHub I have things I've tried that didn't work and benchmark scripts, and methodology. If you guys have suggestions especially for streaming please let me know. No Strata would not be good for this. Strata works with 64 GB Ram + not this

https://github.com/MohammadHaishemKhawaja/hashyy