38 summarised stories about Model Compression, each linking back to the original source. Browse all topics →
MarkTechPost 3 weeks ago 33 ● 4 sources
PrismML released Ternary Bonsai 2 27B, a ternary-weight version of Qwen3.8 27B that supports text and images. The language model is 5.93 GB, compared with 53.80 GB for FP16. It preserves 98.2% of the parent model’s 20-benchmark average but requires PrismML’s llama.cpp fork or its MLX runtime (stock llama.cpp can’t load the GGUF types).
SiliconANGLE 3 weeks ago 48 ● 4 sources
PrismML launched Bonsai 2 27B, a second-generation ultra-compact multimodal AI model designed to run on PCs and some high-end mobile devices. It reduces a Qwen3.8 27B model from about 56 GB in 16-bit uncompressed form to about 5.9 GB while retaining about 98.2% of capabilities. Model users can now run this AI locally with lower memory, compute, and power needs, with weights released under Apache 2.0.
The daily briefing
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.
TLDRocket
15 October 2026
The biggest story today isn’t a single model release—it’s the plumbing getting thicker, especially for agentic AI. Nebius says it has struck deals with early-stage UK AI labs as it expands its GPU data-centre and compute offering in the UK, building on a planned £1.7bn build-out and an expanding London hub. That push rhymes with Britain’s British Business Bank, which announced £180m across six AI and deeptech VC funds, including £55m into Intrepid Growth Partners’ AI-focused Fund I, and with Nvidia’s own UK signal: CEO Jensen Huang announced minority-stake plans in five startups—Boltz, Foresight, Hiverge, Prima Mente, and Riverlane.
Read the full briefing →