What is AI quantization?
Quantization is a method of reducing the size of AI models so they can be run on more modest computers. The challenge is how ...
DeepSeek-R1-beating perf in a 32B package? El Reg digs its claws into Alibaba's QwQ
Despite having a fraction of DeepSeek R1's claimed 671 billion parameters, Alibaba touts its comparatively compact 32-billion ...
Design And Reuse12d
The Critical Factors of a High-performance Audio Codec - What Chip Designers Need to Know
Innosilicon Technology Inc. 97 E Brokaw Rd #210, San Jose, CA 95112 For more information, contact sales@innosilicon.com ...
A Powerbook G4 is barely fast enough to run a large language model
A software developer has proven it is possible to run a modern LLM on old hardware like a 2005 PowerBook G4, albeit nowhere ...
Mac Studio With M3 Ultra Runs Massive DeepSeek R1 AI Model Locally
YouTuber Dave Lee of Dave2D fame has demonstrated how Apple's new Mac Studio equipped with an M3 Ultra chip can efficiently run a huge version ...
GitHub27d
erhab-sham917387/bitsandbytes-foundation-bitsandbytes-1541
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.