Show HN: Standalone TurboQuant KV Cache Inference (opens in new tab)

I had some issues in the original, but had to jump away for a bit here to do some backups (weak). Anyways, I updated to make the necessary fixes, and also made some more tweaking values at top to play with and dialed in the params for the more this specific model a bit more. I will start testing with some other models here as my next step in this little experiment. Thanks for the interest. Feel free to try latest version and run the interactive mode to chat it up with the model and get a feedback on the results as you go. If you have any suggestions, let me know. I'm trying to keep this one as barebones as possible to make it easier for others to port to other languages, or integrate into other uses more easily.

edit: just added Mirostat v2 to clean up repetitive output from the model

A single file, python based, minimal/recognizable dependencies, turboquant playground, barebones af, with some easy to access globals to experiment with at top of 'run_tquant.py'. Test model is a 1.77B model that I altered by duplicating a layer in a Qwen3 1.7B model. Probably work fine with the regular Qwen3 1.7B model as well, but for right now I'm just working with my surgically altered one while I work on the script.