Ai

MiniMax is boasting a 1M token context, but r/LocalLLaMA found the API math and endpoint quirks unmatched.

Kimi K3 hums at 20+ TPS on a 16x GB10 cluster. I tried it. Here is why it is brilliant and entirely impractical.

A deep dive into spinning up Qwen2.5-72B on Hetzner using vLLM on a single 80GB GPU. Numbers, configs, and why it might be totally overkill for you.

Daniel Han claims a 27B model runs on 17GB VRAM. We look at the benchmarks, the compromises, and if your 3090 can survive it.

DeepSeek-V4-Flash-0731 just crushed Fable-5 and Kimi-K3 on the Chess Benchmark. Here is why that does not matter.

llama.cpp just landed MTP / DSpark support for DeepSeek V4 Flash. I spent the weekend breaking my rig to test it.

I tried running Kimi K3 on a single 8GB CPU. Here is exactly how badly it went and what you should run instead.

Running DS V4-Flash-0731 on cheap eBay MI50s actually hits 15 t/s. Here is how the r/LocalLLaMA pojects make this work.

A no-BS guide to squeezing 12.5 tok/s out of DeepSeek-V4-Flash on a 3090 and 128GB DDR5 using IQ3_S quantization.

EU AI Act officially hits August 2, 2026. Here is what it actually means for local LLM nerds running models on homelab GPUs.