It works!
The fine-tuning dataset consists of ~1100 diverse examples, ~300 of which may be directly from Gemini 2.5 Pro (before they hid the original thinking process).
Rest of the data was "distilled" from experimental models and verified to be true.
No benchmark data as I do not have any funds to run them. However, it works and consistently thinks in gemini style.
Feel free to generate new training data and share it around.
Credit the model author (me!) if you deploy or generate datasets please.
Hit me up if you would like to fund my rock smashing experiments.
Example run:
Write a simple tetris game with score tracking using pygame.
min_p: 0.05
top_k: 40
temp: 0.4
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