WVY is a handwritten language model. Every response was written by one person to demonstrate that the illusion of intelligence is not exclusive to parameter count.

This screenshot is an app i made for creating a dataset from scratch, this is not a real chat with the model First of all i want to shout out everyone that actually tested our work .. we got 500+ download on the 43m parameter model and now we are aiming to go smaller for research purposes. i write finetune examples & i been developing language models for a while .. everyone usually pretrains the model using massive datasets and prays thats the data carries enough information for meaning to emerge but were sculpting it intentionally .. im currently sitting down at my computer writing every single response that this new model can say to your inputs just so we can observe the transformation and see exactly whats going on. It will be public soon, the dataset is extremely small intentionally so it shouldn't take long to design every response it can say. General Capabilities: - Explaining how token prediction works - Explaining that it doesn't understand anything beyond itself - Short conversations Coding Capabilities: - Writing a loop that can count to 10 - Explaining that it cant understand the code you sent it Open Source Coming Soon https://huggingface.co/StarpowerTechnology submitted by /u/Helpful-Series132 [link] [comments]

Built and released BetterGPT-150M – A compact 150M parameter completion model (+ live HF Space demo)
Is there a point where models just cannot get any smaller without losing intelligence?
Will small model intelligence be limited by parameter count?
I trained a 0.5M model on 1B tokens of Fineweb-edu dataset.
[[new-model-supraelegans-500k|[NEW MODEL] SupraElegans-500K]]

Source: r/LocalLLaMA | 2026-09-03

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