Atomic Chat published a guest blog guide on selecting local large language models, recommending that users start with a GGUF Q4_K_M quantization if it fits their hardware. The guide provides memory-es…
Atomic Chat, a new application, enables users to run open-weight LLMs from Hugging Face locally on Windows, macOS, and Linux, and exposes them through an OpenAI-compatible API for use with coding agen…
Lifehacker reports that running a local large language model (LLM) on a smartphone is now practical for most recent devices, requiring at least 6GB of RAM and using apps like Atomic Chat or PocketPal …
Hugging Face now hosts more than 135,000 GGUF-formatted models for local AI, and the best local coding model for 24GB VRAM is Qwen 3.6 27B, while Google's Gemma 4 12B at Q4 is recommended for 12–16GB …