Open Weight Ai Model

Meta releases 816-billion-parameter open-weight AI model built for Macs

Meta launched Muse Spark Open, which it describes as the most capable open-weight AI model in the US, featuring 816 billion parameters and a 1 million token context window. The model is multimodal, built for coding and agentic tasks, and designed to run locally on Apple hardware, though it requires at least 1 terabyte of RAM and performs best on a Mac Studio with an M5 Ultra chip. Meta paired it with its Muse Code coding terminal and demonstrated it fixing a Mastodon client and editing footage in DaVinci Resolve.

techcrunch.com · 2026-10-15

Tom's Hardware tests show Qwen3.8 27B struggles beyond VRAM math on RTX 5090 and rivals

Tom's Hardware benchmarked Alibaba's newly released Qwen3.8 27B open-weight AI model across discrete GPUs like the RTX 5090, RTX 4090, RTX 3090, and AMD/Intel cards, as well as unified-memory systems including the DGX Spark, Mac Studio, and Ryzen AI Halo. Despite the four-bit quantized model needing only about 17GB of VRAM, the tests found that software stacks and inference engines often bottleneck real-world performance, affecting time-to-first-token and throughput once context windows fill up.

tomshardware.com · 2026-09-08