config.json

{
  "architectures": [
    "FlowStateModel"
  ],
  "context_length": 2048,
  "decoder_dim": 256,
  "decoder_patch_len": 24,
  "decoder_type": "legs",
  "embedding_feature_dim": 512,
  "encoder_num_hippo_blocks": 8,
  "encoder_num_layers": 6,
  "encoder_state_dim": 512,
  "init_processing": true,
  "prediction_type": "quantile",
  "min_context": 2048,
  "model_type": "flowstate",
  "quantiles": [
    0.1,
    0.2,
    0.3,
    0.4,
    0.5,
    0.6,
    0.7,
    0.8,
    0.9
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.52.1",
  "use_freq": true,
  "with_missing": true
}