Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
One of the most widely used techniques to make AI models more efficient, quantization, has limits — and the industry could be fast approaching them. In the context of AI, quantization refers to ...
Meta released the Llama 3.2 family on September 26, 2024. In addition to the larger models 11B and 90B, smaller models for mobile devices, 1B and 3B, were also available. Meta releases 'Llama 3.2', ...
DeepSeek-R1, released by a Chinese AI company, has the same performance as OpenAI's inference model o1, but its model data is open source. Unsloth, an AI development team run by two brothers, Daniel ...
The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...
Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...
Scientists investigated numerically the interaction between a quantized vortex and a normal-fluid. Based on the experimental results, researchers decided the most consistent of several theoretical ...
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