AINewsnow

12GB VRAM + 16GB RAM is enough for very smart local AI with 120K+ context

I previously posted some performance stats running Qwen 3.8 27B locally using the ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF running on llama.cpp. I am using the Q3-XXS version but before you judge it unworthy (since it's a lowly Q3) check it out - it's very close to the Unsloth Q4 version - maybe even b…

Read the full story at r/LocalLLM ↗

Timeline · 1 report

  1. 2026-10-19 22:48 · r/LocalLLM
    12GB VRAM + 16GB RAM is enough for very smart local AI with 120K+ context

More stories

  1. Strata + Qwen 3.8 Flash Next: fast, but what's it costing in quality? — r/LocalLLaMA
  2. Qwen 27B (IQ4_XS, Q8/Q4 KV) at full 262k context on a 16GB RX 9070 XT: 80+ t/s decode with Adaptive KV Streaming — r/LocalLLaMA
  3. deepseek-ai/DeepSeek-V4.1-Flash-1017 · Hugging Face — r/LocalLLaMA
  4. Together Post-Training: frontier-grade model shaping, the way that fits you — Together AI Blog
  5. I downloaded a local 9B model. It insists it’s Claude and thinks I’m trying to jailbreak it by showing it my GPU. 💀 — r/LocalLLM
  6. MOSS Character LoRas — r/StableDiffusion
  7. migtissera/Tess-4.5-27B (Qwen finetune) — r/LocalLLaMA
  8. Qwen 2.1 and transparency — r/comfyui

Get the daily brief of stories like this at 6:30 every morning →