ChatR Labs Shrinks Alibaba's Qwen-Image-2.1 to Run on 4 GB Consumer GPUs
ChatR Labs released a rank-128 LoRA merged into Qwen-Image-2.1, with GGUF, FP8, INT8, NVFP4 and NF4 builds running on 4-14 GB of VRAM, plus an uncensored tune improving adult-prompt adherence.
Read the full story at AlphaSignal ↗
Timeline · 1 report
- 2026-11-14 22:00 · AlphaSignal
ChatR Labs Shrinks Alibaba's Qwen-Image-2.1 to 4 GB for Consumer GPUs
More stories
- Nvidia’s Board Is Weighing Jensen Huang’s Future — New York Times Technology
- Qwen Image 2.1: exact type at native 2K on PixelDojo — DEV Community — Machine Learning
- SkillDuet (Qwen): Tracing Its Preceding Ideas and Technical Lineage | Qwen SkillDuet：原理与思想脉络溯源 — DEV Community — Machine Learning
- How to Deploy DeepSeek-R1 & Qwen on Azure with Scale-to-Zero ($0 Idle Bill) — DEV Community — AI
- How long are we gonna depend bunch of model creators (like Qwen, Gemma, NVIDIA, etc.,) for ~100B models? — r/LocalLLaMA
- Sam Altman wants my RAM. Sorry, my 2-bit Qwen needs it to teach my AI waifu how to bend her knees. — r/LocalLLM
- sensenova/SenseNova-Loop-9B-Preview · Hugging Face — r/LocalLLaMA
- Can open-weight LLMs can predict the effects of weight edits without running the model (9B–30B) — r/LocalLLaMA
Get the daily brief of stories like this at 6:30 every morning →