matrix multiplication (LLM.int8()), and 8 & 4-bit quantization functions. There are ongoing efforts to support further hardware backends, i.e. Intel CPU + GPU, AMD GPU, Apple Silicon, hopefully NPU.

Running GenAI models is easy. Scaling them to thousands of users, not so much Hands On You can spin up a chatbot with ...

Microsoft’s new large language model (LLM) puts significantly less strain on hardware than other LLMs—and it’s free to ...

Researchers from Max Born Institute have demonstrated a successful way to control and manipulate nanoscale magnetic bits—the ...

You can use these techniques that are a bit ... quantization. How does it work? The idea, you know that the weights of the metrics are floating points. Floating points are 32 bits. It means 4 ...

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Claim to fame/honors: Named Southwestern Buckeye League, Southwest District and District 15 player of the year; led conference in assists (5.5) and eighth in scoring (12.6); scored season-high 26 ...

DeepSeek-R1T-Chimera is a 685B MoE model built from DeepSeek R1 and V3-0324, focusing both on reasoning and performance.