RTX 5090 laptop owner asks: best abliterated Qwen 3.6 vs 3.8 27B quants for 24GB VRAM
ThomasAger · reddit · 2026-09-02
A Reddit user on an RTX 5090 Laptop (24GB VRAM, no offloading) is looking for the fastest abliterated (safety-removed) quantized builds of Qwen 3.6/3.8 27B for instruction-following with thinking disabled, noting community claims that 3.6 performs better without thinking. Some MTP variants run no faster than non-MTP builds for him; he currently uses Huihui-Qwen3.8-27B-abliterated-NVFP4-GGUF and finds abliterated models smarter for his use cases.
More from Models
- MOSS SFT vs Flux 3 Klein vs SD 3.0: Same-Prompt Comparison Exposes SD3's Age — ZootAllures9111 · 2026-10-18
- Quick take: GPT-6 matches Opus 5.5 at coding, far ahead at computer use — _vztu · 2026-10-18
- Open models now above Sol-level, outpacing expectations as community awaits V4.1 Pro — yacineMTB · 2026-10-18
- Codex took 3 days, Opus 5.5 nailed it in an afternoon — banned user's video protest — dotey · 2026-10-18
- Yacine MTB: Users will remember how Anthropic treated them once intelligence proliferates — yacineMTB · 2026-10-18
- Mistral's Timestral forecasting models start at 5M params and run on plain CPUs — lmoroney · 2026-10-18