Quantization is a method of reducing the size of AI models so they can be run on more modest computers. The challenge is how to do this while still retaining as much of the model quality as possible, ...

The core of ButterflyQuant lies in its learning capability, employing a learnable quantization method based on butterfly transformations. This technology draws inspiration from butterfly decomposition ...

The Llama 3.1 70Bmodel, with its staggering 70 billion parameters, represents a significant milestone in the advancement of AI model performance. This model’s sophisticated capabilities and potential ...