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yagizdevre/trm-maze-30x30
trm-maze-30x30 is a machine learning model from yagizdevre. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Tiny Recursion Model (7M params) trained on 30x30 hard maze puzzles with recursive reasoning
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Updated Dec 24, 2025
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.pt27.3 MB · 100%
From the Hugging Face model README
Tiny Recursion Model (7M params) trained on 30x30 hard maze puzzles with recursive reasoning
This is a checkpoint from the TinyRecursiveModels project, implementing recursive reasoning for puzzle solving.
Checkpoint: step_390620
To load this checkpoint:
import torch
# Load the checkpoint
checkpoint = torch.load("model.pt", map_location="cpu")
# The checkpoint contains:
# - 'model': model state dict
# - 'ema_model': EMA model state dict (if EMA was enabled)
# - 'puzzle_emb': puzzle embeddings
# - 'optimizer': optimizer state
# - 'config': training configuration
# - 'step': training step number
# - 'epoch': training epoch number
# Access model weights
model_state = checkpoint['model']
config = checkpoint['config']
If you use this model, please cite the TinyRecursiveModels repository.