Model Releases
llm-server v2 ai-tuning it self now best performance for llama.cpp/ik_llama.cpp (big steps form v1) auto flag optimization
**llm-server v2** is a community-developed local LLM server tool that introduces AI-driven self-tuning capabilities, automatically identifying and applying optimal performance flags for **llama.cpp**
llm-server v2 is a community-developed local LLM server tool that introduces AI-driven self-tuning capabilities, automatically identifying and applying optimal performance flags for llama.cpp and its fork ik_llama.cpp — eliminating the need to manually tune parameters like batch size, thread count, GPU layers, and flash attention. Version 2 represents a significant upgrade over v1, leveraging automated optimization (similar in concept to tools like llama-optimus using Bayesian/ML search) to maximize token generation throughput on a user's specific hardware. Posted to r/ollama, it targets enthusiasts running local LLMs who want best-in-class inference performance without trial-and-error flag configuration.
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Source: r/ollama | 2026-04-11