llmfit is an open-source CLI tool that automatically detects your system's RAM, CPU, and GPU specs to recommend the optimal LLM model and quantization level, dramatically lowering the barrier to running local AI.
A developer has implemented a UEFI application that runs LLM inference directly from boot without any operating system or kernel, using zero-dependency C code for the entire stack from tokenizer to inference engine.
Ollama 0.17, released February 22, introduces a new native inference engine replacing llama.cpp server mode, delivering up to 40% faster prompt processing and 18% faster token generation on NVIDIA GPUs, plus improved multi-GPU tensor parallelism and AMD RDNA 4 support.
A high-signal LocalLLaMA thread points to llama.cpp Discussion #19759, where maintainers say the ggml team is joining Hugging Face while continuing full-time support for ggml and llama.cpp.
A high-scoring Hacker News thread highlighted announcement #19759 in ggml-org/llama.cpp: the ggml.ai founding team is joining Hugging Face, while maintainers state ggml/llama.cpp will remain open-source and community-driven.