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Aleph Alpha lanza Kolibri, LLM alemán que activa solo 4,4% de sus parámetros

Un modelo que activa apenas el 4,4% de sus propios parámetros en cada token acaba de salir de Alemania con licencia abierta. Se llama Aleph Alpha Kolibri, lo lanzó la compañía alemana Aleph Alpha el 3 de octubre de 2026, y combina 78.100 millones de parámetros totales con una arquitectura de mezcla…

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  1. 2026-10-03 14:30 · DEV Community — Machine Learning
    Aleph Alpha lanza Kolibri, LLM alemán que activa solo 4,4% de sus parámetros

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  1. Open source inference engine (like LM Studio or Unsloth Desktop) that optimizes itself for your exact hardware. Compiles and tunes its kernels on your device, so open models run up to 2x faster than llama.cpp. Works on Apple Silicon, NVIDIA, AMD or nothing but a CPU. — r/LocalLLaMA
  2. Qwen4Exp: add MTP by am17an · Pull Request #29761 · ggml-org/llama.cpp — r/LocalLLaMA
  3. How smart is the IQ3 family of Qwen 3.8 Flash Next for coding tasks? — r/LocalLLaMA
  4. Pi extension: Skip reasoning with local Qwen 27B and proceed to answer right now — r/LocalLLaMA
  5. FreeToken vs llama.cpp on one RTX 3090: llama.cpp is 2–3× faster when the MoE fits in VRAM. On gpt-oss-120b (63 GB), FreeToken gets the first token out 7× faster at 32 concurrent users. — r/LocalLLaMA
  6. Imma just say it, Strata absolutely clowned llama.cpp — r/LocalLLaMA
  7. Claude and Grok built me a local monitoring setup for my AI box: two dashboards, one for the machine, one for model training — r/LocalLLM
  8. WHIRL: an open-source native Windows inference engine for the Radeon AI PRO R9700 (C++/HIP, no WSL). Qwen3.8-27B fine-tune in MXFP4: up to 2.5× llama.cpp prefill, 107–328 tok/s decode, 3× server throughput — r/LocalLLM

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