AWQ search for accurate quantization. Pre-computed AWQ model zoo for LLMs (LLaMA-1&2, OPT, Vicuna, LLaVA; load to generate quantized weights). Memory-efficient 4-bit Linear in PyTorch. Efficient CUDA ...

Implementation of an Image Processing and a Python Machine Learning project: Color Quantization using K-Means clustering algorithm (with different k values) and OpenCV library. All functions and ...

In artificial intelligence, one common challenge is ensuring that language models can process information quickly and efficiently. Imagine you’re trying to use a language model to generate text or ...

A significant bottleneck in large language models (LLMs) that hampers their deployment in real-world applications is the slow inference speeds. LLMs, while powerful, require substantial computational ...

Hands on If you hop on Hugging Face and start browsing through large language models, you'll quickly notice a trend: Most have been trained at 16-bit floating point of Brain-float precision. FP16 and ...