AINewsnow

Now you can grow Bonsai on your potato

No more excuses for GPU-poor folks not to start LLMing! Full 27B-class reasoning in ternary transformer weights, for llama.cpp (CUDA, Metal, CPU) ~9.3x smaller than FP16 (ideal) | 98.2% of FP16 intelligence retained | ~47 tok/s on an Apple M5 Max laptop Highlights ~5.9 GB language model (down from…

Read the full story at r/LocalLLaMA ↗

Timeline · 1 report

  1. 2026-10-11 12:58 · r/LocalLLaMA
    Now you can grow Bonsai on your potato

More stories

  1. I built an open-source GPU orchestrator that lets several local AI models share one GPU by loading/unloading them on demand (llama.cpp, Ollama, ComfyUI, TTS) — r/LocalLLM
  2. Qwen 3.6 35B A3B: 131K context + vision on 6GB VRAM — r/LocalLLaMA
  3. 7900 XTX swap vs. adding a 7600 XT — r/LocalLLM
  4. Qwen3.6 35B-A3B optimized for a 4 GB GTX 1050 Ti Mobile: up to 2× prefill and 3× decode vs llama.cpp — r/LocalLLM
  5. If you used an Agentic AI to help design an agentic AI for working on your personal task and projects, replying to emails, etc. What did your final prompt and build instructions look like? — r/ArtificialInteligence
  6. Is AI More or Less conscious than my Tamagotchi? — r/ArtificialInteligence
  7. Reminder: try probabilistic MTP if you missed it. Decode +14% on prose — r/LocalLLaMA
  8. VS Code Copilot + llama-server --parallel 2: concurrent requests cause full re-prefill — r/LocalLLM

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