THE FIRST DLSS 5 MANAGER
Qwen3.8-27B on one RTX 4090: full native 262K context via E8 4-bit KV, up to 149 tok/s code decode with MTP3, sm_89-retuned attention prefill, vision, llama.cpp-compatible /metrics + /slots
NInfer port for Qwen 3.8 27B on RTX 4090
Xolotl (formerly Strata-DSV4.1): DeepSeek-V4.1-Flash, all 552B, on one gaming PC (RTX 4090 + 90 GB RAM) at ~27 tok/s, plus GLM-5.3-Flash, Qwen3.8-Flash-Next and Qwen3.8-27B. A heavily extended fork of Strata: MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic API.
run a 27b local ai on your gaming gpu, rtx 3060 and up, radeon rx 6600 and up in beta, 8gb or more, linux and windows, one line to install
SNDR Core Engine (Genesis) — vLLM runtime patch-overlay for Qwen3.6 + Gemma4 on consumer NVIDIA (Ampere sm_86, 2× A5000/3090). Qwen3.6-35B-A3B FP8 ~240 tok/s, 27B-int4 hybrid GDN+Mamba, Gemma4 26B/31B AWQ, 256K ctx. 321 patches: TurboQuant k8v4 KV, MTP/DFlash spec-decode, FULL cudagraph, hybrid GDN. vLLM pin dev424 + Control Center GUI.
Qwen4-Exp (Qwen3.8-Flash-Next) SWA + MTP + PLE-on-iswa — bounded deep-context decode w/ long-range recall, TBQ4 4.25 bpv KV, DSpark + RotorQuant. Main (master) = Qwen4-Exp build; the Qwen35 SWA hybrid lives on the qwen35 branch. RTX 4090.
Durable local inference for Oh My Pi: NInfer + Qwen3.8 27B on one RTX 3090/4090/5090, with restart-resumable OpenAI Responses state.
DLSS 5 Neural Rendering for World of Warcraft (WoW) on NVIDIA RTX 40/50 — a safe overlay with no DLL injection, no hooks and no ReShade next to Wow.exe. Free and open source.
异环（Neverness To Everness / Ananta）光线追踪一键部署面板，基于 OptiScaler winmm 方案，默认推荐 RTX 5090，并支持本机/RTX 4090/RTX 5080M 配置、备份、恢复和本地 WebUI。
Unlocks RT Options in NTE Global PC for Low-Mid RTX Graphics Cards
Reproducible llama.cpp configs + per-category quality benches for Qwen3.6-27B on a single RTX 4090. Winners, dead ends, and the silent-corruption bug.
Qwen3.8-27B on one RTX 4090: full native 262K context via E8 4-bit KV, 149 tok/s code decode with MTP3, 2,409 tok/s prefill, vision, and eight LoRA adapters served concurrently from one process — trained on the same card by SFT or GRPO reinforcement learning. llama.cpp-compatible /metrics + /slots.
Qwen3.8-27B on a single RTX 4090 (sm_89): Cinference/NInfer port with MTP speculative decoding and K8V4 KV cache
Qwen3.6 vLLM Toolkit — Launcher + Templates, Optimized for 2×24 GB. vLLM launcher with an optimized hybrid chat template drawing from the best community fixes for Qwen 3.6 27B.
Run Qwen3.8-27B locally on any 24GB GPU (RTX 3090/4090/A5000) with llama.cpp: install, scripts, MTP tuning, benchmarks
面向 8×RTX 4090（SM89）的 DeepSeek-V4-Flash-0731 MXFP4 SGLang 实验分支
Quality-first local MiniMax H3 video-series generation and loopback API for dual RTX 4090 workstations, with native audio, references, P8/P9 continuity, and preserved artifacts.
4K video super-resolution on a 24 GB RTX 4090 — a free, local ComfyUI FlashVSR node (VIDEO in, VIDEO out) plus a Triton/FP8 operator pack at ~1.3×. No CUDA build, every number backed by benchmark JSONs.
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