u/Shookpro

Sorry for the spam but this is going to be dope heres a pro track

Trying to make it as close to mx vs atv reflex let me know what you think what should be improved, in this video its on pretty high settings and i have been riding around for a while.

https://github.com/kadenball/qwen38-27b-rtx3060-dcfr

Q3 quant

Qwen3.8-27B at 64K on one RTX 3060 12 GB

This repository publishes the experimental llama.cpp patch and measurements behind a 29.65-29.69 generated tokens/s fixed C++ workload and a 33.21 tokens/s high-acceptance peak for Qwen3.8-27B while allocating a 65,536-token context on one RTX 3060 12 GB.

The key optimization is Deferred-Commit Factor Replay (D-CFR). It removes hundreds of MiB of speculative recurrent-state copies, then spends the saved VRAM on model weights used during target verification.

This is a narrow, disclosed record-candidate result—not a claim that every prompt runs above 30 tokens/s. Comparisons across quantizations, allocated contexts, prompts, sampling, and runtimes are not apples-to-apples.