HN · GitHub Signals

OPEN SOURCE, IN FOCUS

mixture-of-kittens

cursor/mixture-of-kittens

Mixture-of-experts (MoE) training megakernel for NVL72s

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

amd-agi

instella-moe

Instella MoE is a fully open state-of-the-art Mixture-of-Experts language model, trained end-to-end on AMD Instinct™ GPUs.

Take a look →
academiasd

academiasd_loralab-trainerstudio

Train LoRAs for Qwen-Image 2.1, FLUX.2 Klein 9B, Krea 2, Z-Image, Ideogram 4, Anima, SDXL (Pony, Illustrious, NoobAI), LTX 2.3 and MiniMax-H3 on NVIDIA GPUs from 4–8 GB VRAM. One install, one launcher, NF4 models. Windows, Linux and RunPod.

Take a look →
mw00

project-maya

Project Maya - GLM-5.3-Flash (321B MoE) on your own NVIDIA GPU(s): engine, server, dashboard, quant tools. Built on Strata.

Take a look →
niko1221

strata

Qwen3.8-Flash-Next (125B MoE) on a 12-24 GB NVIDIA GPU + 64 GB RAM: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API on localhost, optional image input.

Take a look →