#Ollama

Ollama, the popular app for running AI models locally, announced that its Mac app now supports text-to-speech generation, with Windows and Linux support coming soon.

Ollama runs AI models on your computer, but on its own it can only chat. Here's how to turn it into a local AI agent that can search the web, work with your files, and run tasks, with no code and no API bills.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine ...

Vamos direto ao que interessa. Você tem uma VPS Ubuntu com pelo menos 8 GB de RAM e quer rodar um...

Ollama now lets Mac users turn text into natural-sounding speech locally with Phonon, a family of small text-to-speech models from Gradium. No subscription required.

I stood up Google's diffusion language model DiffusionGemma as a vLLM OpenAI-compatible server on my home RTX 5090 (Blackwell / 32GB), so Open WebUI could use it as just another model. Declarative, on-demand on NixOS.…

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...

Ollama lets me summarize and analyze sensitive documents on my own PC without sending them to the cloud.

How to architect robust, privacy-preserving autonomous agents using local LLMs like Llama 3. Solve the cloud dependency problem with a hybrid execution model and tool-calling standards.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. What I...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Github...

The Problem With Cloud AI Every token costs money. Every API call adds up. And your data...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...

Debugging silent model unload failures when Ollama handles concurrent inference requests during model switching—and the mutex guard that fixed it.

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

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.…