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LFM2.5-350M is a compact AI model created by Liquid AI for on-device deployment across various hardware platforms. The 350-million parameter text-only model delivers competitive performance for data extraction and structured […]

ByteShape recently published a GGUF-formatted version of the Qwen3.5-9B language model. The release enables developers to run the system locally while keeping memory usage low through optimized file compression. The […]

Bonsai-8B-gguf delivers a language model compressed into a single 1.15 GB file. It operates through standard inference engines by packing every weight into one digital bit. This approach removes typical […]

Holo3-35B-A3B is a new open model designed to let AI programs read screens and control software across websites and desktop applications. Instead of processing entire interfaces at once, it reads […]

Ai-engineering-from-scratch is a comprehensive, open-source curriculum designed to teach artificial intelligence development from the ground up. Spanning over 260 structured modules, the repository guides learners through mathematical foundations, deep learning, […]

Darwin-35B-A3B-Opus is an open language model that merges advanced reasoning with image and video understanding. The system activates just three billion parameters during operation, keeping response times quick while handling […]

The Acervo-extractor-qwen3.5-9b-GGUF is a compressed version of a nine-billion parameter model built to pull ordered information from invoices, legal contracts, and financial reports. By converting the original files into a […]

Arcee AI recently released Trinity-Large-Thinking, a specialized artificial intelligence system designed to manage complex planning and automated workflows. The model generates visible reasoning steps before delivering its final answers, which […]

APEX is a new model compression method that reduces file size while preserving output accuracy. By adjusting precision levels based on specific layer and data roles, the technique matches high-fidelity […]