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  1. shura.cpp: a llama.cpp fork with a VRAM governor, so a 35B MoE can share one 16 GB card with the desktop you keep using — r/LocalLLM
  2. I tested LFM2.5-24B-A2B vs Qwen3.6-35B-A3B on 75 fresh multi-step tool tasks. Qwen solved 91%, LFM2.5 49%, and LFM2.5 said "done" on most of its failures — r/LocalLLM
  3. LiquidAI/LFM3-Omni-2B-GGUF — r/LocalLLaMA
  4. Qwen3.8-27B Q6 on one RTX 5090: 69 → 100 tok/s short, 35 → 64 tok/s at 120K context, just by leaving LM Studio for a native llama.cpp build (full benchmarks + recipe) — r/LocalLLM
  5. llmserver – one bash script for local LLMs with model security checks (llama.cpp / vLLM / Ollama) — r/huggingface
  6. Introducing Zest: model server + agent + friendly GUI — r/LocalLLaMA
  7. I made Pumpkin, a graphical manager for llama.cpp for my girlfriend. It turned out well, so I put it on github — r/LocalLLaMA
  8. Nanbeige4.3-33B Q4 on a MacBook Pro M5 Max, mlx-lm vs llama.cpp vs Kapitsa, Prefill/Decode 512 to 32K range. — r/LocalLLaMA

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