UpupaBitUpupaBitWhat is new in Matricxon and pAIring. Add the feed to any RSS reader to get updates.
https://upupabit.ai/rss.xmlOpen feedA new home for Matricxon and pAIring, with full documentation for both.
Several Matricxon nodes can now share models and chat caches, managed from a live node map in pAIring.
Connect MCP tool servers and let models look things up or take actions in chat.
Matricxon keeps long chats ready on disk with AES-256-GCM, so returning to them is fast.
Matricxon can run on an NVIDIA GPU, with packed or unpacked weights.
Matricxon runs Qwen 3.5, including its hybrid layers and vision.
Matricxon runs Gemma 4, and mixture-of-experts models share one faster expert layer.
Three more model families join Matricxon, including its first mixture-of-experts model.
Matricxon reads 25 quantization types, now including the IQ1 to IQ4 types for very small models.
pAIring shows math formulas in replies as clean, readable equations.
pAIring can send chats to a RunPod Serverless endpoint when you need a bigger model.
Matricxon moved all dequantization to native C kernels, many times faster than before, with macOS support the same day.
The first public release of Matricxon, a readable GGUF runtime with Qwen 2 and Qwen 3 support.
pAIring 1.0, a private AI chat workspace for teams, is released under AGPL-3.0.