Llm

Qwen-3.8 brings 1M token context to open-source LLMs, but is it practical for you? Let’s break down the trade-offs and where it shines.

Want to run Qwen-Drive like a pro? A no-BS setup guide with real commands, community tips, and troubleshooting.

OpenAI stands accused of lifting mathematicians’ work. We break down the drama, what r/LocalLLaMA thinks, and how this impacts AI research.

DeepSeek Flash 4.1 is in API testing and rolling out, and r/LocalLLaMA residents are weighing in: hype or overkill?

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?