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| from __future__ import annotations | |
| from dataclasses import dataclass, field | |
| from typing import List | |
| QUANTILES = [0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9] | |
| MEDIAN_INDEX = 4 | |
| SIGMA_EPS = 1e-6 | |
| class GemmaConfig: | |
| model_dims: int | |
| n_heads: int | |
| n_kv_heads: int | |
| head_dim: int | |
| intermediate_size: int | |
| qk_norm: bool = True | |
| sliding_window: int = 0 | |
| global_every: int = 6 | |
| class ResidualConfig: | |
| hidden_dims: int = 128 | |
| output_dims: int = 64 | |
| class MeridianConfig: | |
| name: str | |
| size: str | |
| gemma: GemmaConfig | |
| n_layers: int | |
| input_feature_dim: int = 192 | |
| input_patch_len: int = 32 | |
| output_patch_len: int = 64 | |
| quantiles: List[float] = field(default_factory=lambda: QUANTILES.copy()) | |
| max_variates: int = 128 | |
| max_context: int = 15360 | |
| max_horizon: int = 512 | |
| use_variate_attention: bool = True | |
| residual: ResidualConfig = field(default_factory=ResidualConfig) | |
| NanoConfig = MeridianConfig("Meridian-Nano","nano", | |
| GemmaConfig(64,4,4,16,128), n_layers=4, | |
| residual=ResidualConfig(128,64)) | |
| G6Config = MeridianConfig("Meridian-G6","g6", | |
| GemmaConfig(4096,32,8,128,11008,sliding_window=64,global_every=6), | |
| n_layers=28, residual=ResidualConfig(512,4096)) | |