Categories › AI & Agents › Models, LLM APIs, routing, serving, training & GPUs
Find open-weight AI models that fit your hardware, with weight sizes, memory and sources.
Remote server: your requests and data go to localaipicks.com. Claude Code: claude mcp add --transport http local-ai-picks https://localaipicks.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
list_tasks — The tasks Local AI Picks lists open-weight models for (text LLM, coding, speech to text, text to speech, image, video, music, translation, Ofind_models — Current open-weight models for one task, latest version of each family, in the same order as the site. Give memory_gb (and device) to keep oget_model — One model: parameters, license, context length, every listed weight option with file size and memory need, third-party scores with their soucompare_models — The same facts as get_model for 2 to 4 models side by side.find_gpu_rentals — Hourly GPU rental for a model that does not fit on the user’s own device. Give slug (from find_models) or memory_gb (the memory the model neNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.