Local AI Digest: Community Tools Mature and Inference Gets Sharp

Tools

Llama.cpp Merges Speculative Decoding with Draft Model Reuse

This PR lets you reuse draft models across multiple target models, cutting memory overhead for speculative decoding significantly. If you are running multiple small models locally, this is a real efficiency lever.

Analysis

Reddit Thread: Real-World Local AI Setups for November 2025

The monthly 'what are you running' thread is a goldmine of real hardware and model combinations that people actually use daily. Good place to sanity-check your own setup or find new model suggestions you might have missed.

New Paper: Mixture-of-LoRAs for Efficient Multi-Task Local Fine-Tuning

This research shows how to load multiple LoRA adapters and route between them based on task, all on consumer hardware. If you are fine-tuning for specific use cases, this approach could let you swap expertise without swapping full models.