km_tokenizer_pertick_12x240
Grouped-FSQ keyboard/mouse tokenizer for PLAIOmni; each tick is encoded and decoded on its own. 8 raw 100 Hz control frames
per block -> one 12.5 Hz action tick of 12 code ids over a per-group vocab of
240 (FSQ levels 8 x 6 x 5).
| field | value |
|---|---|
| num_tokens | 12 (2 key groups, 10 mouse groups) |
| fsq_levels / fsq_dim / vocab_size | (8, 6, 5) / 3 / 240 |
| model_dim / ffn_dim / heads | 256 / 1024 / 8 |
| encoder / decoder / frame-encoder layers | 6 / 6 / 2 |
| mouse bins | 96 linear + 24 geometric tail per axis (241 classes) |
| mouse bounds | dx +/-1280, dy +/-720 |
| trained | epoch 12, step 150000 |
pytorch_model.bin is a fp32 state dict with the training module's model.
prefix, loaded strictly by
models.components.km_tokenizer_pertick.KmTokenizerPerTick.ensure_loaded.
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