OpenCV 5.0 brings LLMs to the Computer Vision Library

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.
XDA Developers on MSN

Two old GPUs I salvaged are doing more AI work than a brand new $2000 card, and I won't be upgrading anytime soon

I built a local AI setup out of two old GPUs that sell for cheap, and it beats a single new card ...
note

Can a 27B model running locally really be used? — A hands-on evaluation of Jackrong's "Qwopus-3.6-27B-Coder" using 4 types of quantization

I performed a cross-test of 4 types of quantization (Q4 / Q5 / Q6 / Q8) on a popular local coder model that claims 67% on SWE-bench Verified, using my own 20-question benchmark. To cut to the chase, ...
GitHub

QAIRT Model Quantization Toolkit

A practical toolkit and step-by-step guide for quantizing ONNX models for Qualcomm® AI Runtime (QAIRT) and deploying them on Qualcomm NPUs. pip install ultralytics==8.4.58 onnx==1.21.0 ...
note

High-Speed Inference of 35B MoE on 16GB GPUs — Real-world Measurements of Luce Spark and Latest Insights on Quantization and Inference Acceleration

This article has been edited and created by AI. On Reddit's r/LocalLLaMA, discussions on optimizing local LLMs in real-world environments are intensifying. New insights backed by real-world ...
MSN on MSN

The biggest local LLM on your machine is useless if it can't call a single tool, no matter how many parameters it has

More parameters doesn't always mean more capabilities.