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Download configs/dev/dev_training.yaml from matteuscruz/tinyworldmodels: direct link, hf CLI and curl.
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https://huggingface.co/spaces/matteuscruz/tinyworldmodels/resolve/main/configs/dev/dev_training.yaml
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754 Bytes
| # wandb | |
| use_wandb: true | |
| wandb_project: nano-genie-pipeline | |
| # dataset | |
| dataset: PICODOOM | |
| fps: 30 | |
| preload_ratio: 0.05 | |
| # smaller shared model params | |
| patch_size: 4 | |
| context_length: 4 | |
| frame_size: 64 | |
| latent_dim: 6 # for video tokenizer | |
| num_bins: 2 # for video tokenizer | |
| n_actions: 8 | |
| embed_dim: 32 | |
| num_heads: 4 | |
| hidden_dim: 64 | |
| num_blocks: 1 | |
| # simplest train settings | |
| compile: false | |
| tf32: true | |
| amp: true | |
| log_interval: 1 | |
| n_updates: 2 | |
| learning_rate: 0.0001 | |
| batch_size_per_gpu: 8 | |
| gradient_accumulation_steps: 1 | |
| # Stage configs | |
| video_tokenizer_config: configs/video_tokenizer.yaml | |
| latent_actions_config: configs/latent_actions.yaml | |
| dynamics_config: configs/dynamics.yaml | |
| # Which stages to run | |
| run_video_tokenizer: true | |
| run_latent_actions: true | |
| run_dynamics: true | |