Open-Source

The Gemma 5 hype is real, but only if it sticks to its roots and avoids the rabbit hole Qwen fell into.

Ollama looks slick, but let’s cut to the chase: it’s another wrapper with baggage most local LLaMA users don’t need. Here’s why.

Exhausted trying to track every new AI model release? You’re not alone. Here’s how the community feels about this never-ending flood.

I ran calorie-counting tests on LLMs because someone had to check. The results were… surprising, but not all good.

Forget peak FLOPS. The Struggle Bench measures how your local LLM setup handles the absolute worst-case scenarios.

We dig into Qwen 3.8’s 27B fine-tunes and ask: is 167 GPU hours reasonable, or just flexing?

Qwen-3.8 saved my PC from a GPU overclocking mess — a strange but fascinating test of its reasoning powers.

Agent harnesses for LLMs: Which one deserves your setup time? A deep dive into the favorites and trade-offs, straight out of r/LocalLLaMA.

Small LLaMA models like 7B are making waves. Are they enough for your side projects? Here’s the breakdown with real stats.

Local LLM performance is evolving. Here’s where the top setups stand right now, with real-world notes from the trenches.