A paper from Google could make local LLMs even easier to run.

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

Angela Lipps spent nearly six months in jail after AI software linked her to a North Dakota bank fraud case A Tennessee grandmother says she is trying to rebuild her life after an incident of mistaken ...

Whether the Indiana state legislature voted to draw two additional Republican-leaning congressional districts, as President Donald Trump wanted, was unlikely to be the decisive factor in the 2026 ...

Ahead of the open enrollment period for Medicare Advantage plans that began Wednesday, the Trump administration created a directory to help millions of seniors look up which doctors and medical ...

Technical difficulties mean scores of people living in the UK have no means to reliably prove their immigration status or “right” to be in the country following the Home Office’s transition to an ...

I am encountering an issue while attempting to quantize the Qwen2.5-Coder-14B model using the auto-gptq library. The quantization process fails with a torch.linalg.cholesky error, indicating that the ...

Large Language Models (LLMs) have emerged as transformative tools in research and industry, with their performance directly correlating to model size. However, training these massive models presents ...

Post-training quantization (PTQ) focuses on reducing the size and improving the speed of large language models (LLMs) to make them more practical for real-world use. Such models require large data ...