#Ollama

You're three hours into debugging a model quantization issue. The GPU utilization is sitting at 12%....

Google released Gemma 4 12B today. It’s a solid open-source model (Apache 2.0) that’s multimodal and runs really well on Macs with 16GB or more unified memory. Good at reasoning, coding, and agent stuff.…

I pulled the just-released Gemma 4 12B and ran it on a GTX 1080 Ti. ~28 tok/s at Q4 on one card — but three things broke first, and Q8 (2 cards, 30% slower) fixed both the token glitches and a domain answer Q4 got confidently wrong.

I benchmarked Qwen3.6-35B-A3B (IQ4_XS) on two 8-year-old GTX 1080 Ti cards: ~20 tok/s, and the second GPU only adds ~20% (not 2x). Real numbers, VRAM math, and why a 35B fits 22GB.

Retrieval-Augmented Generation (RAG) is a powerful design pattern that allows you to ground Large...

Key Highlights Running AI models locally sounds powerful until your machine becomes the bottleneck. Large models like Llama 3, Mistral, DeepSeek and Gemma can slow down your system, drain memory and turn every prompt into a waiting game.…

key highlight Hosting your own large language models gives you complete control over your AI data and keeps sensitive information off third-party servers.…

A hands-on guide to wrapping Ollama REST API with FastAPI to build a production-ready local LLM server with SSE streaming, health checks, and Docker Compose deployment. Real execution logs included.

In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local language model parameters.

Weekly roundup of the most useful local-model improvements, with a focus on setup friction and developer value

Step-by-step guide: install Ollama, download an AI model, and connect it to LivChart for local AI-powered dashboards.

TL;DR: miii-cli is an open source terminal AI coding assistant powered by local models. No API keys....

From How-To Geek: 3 money-saving free, open-source apps to try this weekend (May 15-17)

If you've been watching the open-source LLM space, you've probably noticed it's been a great couple...

From Dev Community: I built a tool that gives Claude Code eyes on videos — extract code from any tutorial

From Dev.to - ai: LLaMA.cpp Gets Qwen MTP Boost, Ring-2.6-1T for Ollama, AMD GPU Fixes

From XDA Developers: I stopped hitting Claude's message limit by building a local AI pipeline that does the heavy lifting

AI is not a toy. Learn to build a self-hosted content production pipeline that generates, reviews, and publishes social media posts without growing your marketing team.