Further training/distillation needed?
#5
by
mingyi456
- opened
This pruned version fails to output any Python code for the flappy bird prompt in LM Studio. I downloaded the Q8 quant from bartowski, and after setting the parameters and retrying a few times the final output is still incoherent. Meanwhile the unpruned UD-Q4_K_XL quant from unsloth at least produces a block of code. Maybe there is still a need to train or distill this model to heal the damage from pruning? The full prompt is below:
Create a Flappy Bird game in Python. You must include these things:
- You must use pygame.
- The background color should be randomly chosen and is a light shade. Start with a light blue color.
- Pressing SPACE multiple times will accelerate the bird.
- The bird's shape should be randomly chosen as a square, circle or triangle. The color should be randomly chosen as a dark color.
- Place on the bottom some land colored as dark brown or yellow chosen randomly.
- Make a score shown on the top right side. Increment if you pass pipes and don't hit them.
- Make randomly spaced pipes with enough space. Color them randomly as dark green or light brown or a dark gray shade.
- When you lose, show the best score. Make the text inside the screen. Pressing q or Esc will quit the game. Restarting is pressing SPACE again.
The final game should be inside a markdown section in Python. Check your code for errors and fix them before the final markdown section.
Yes, it is stated in the readme.