Time Series Forecasting
Transformers
Safetensors
kairos
time-series
forecasting
foundation-model
zero-shot
Instructions to use mldi-lab/Kairos_10m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mldi-lab/Kairos_10m with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mldi-lab/Kairos_10m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "KairosModel" | |
| ], | |
| "classifier_dropout": 0, | |
| "context_length": 2048, | |
| "cross_attention_pe_flip": false, | |
| "d_ff": 1024, | |
| "d_kv": 64, | |
| "d_model": 256, | |
| "decoder_start_token_id": 0, | |
| "dense_act_fn": "relu", | |
| "dropout_rate": 0.1, | |
| "dtype": "float32", | |
| "eos_token_id": 1, | |
| "feed_forward_proj": "relu", | |
| "initializer_factor": 0.05, | |
| "input_patch_size": 128, | |
| "input_patch_stride": 128, | |
| "instance_rope_input_feature_dim": 128, | |
| "is_cross_attention_pe": true, | |
| "is_encoder_decoder": true, | |
| "is_gated_act": false, | |
| "layer_norm_epsilon": 1e-06, | |
| "levels": 3, | |
| "loss_weight_scheme": "log_decay", | |
| "max_period": "original_rope_init", | |
| "min_period": "original_rope_init", | |
| "model_type": "kairos", | |
| "moe_inter_dim": 1408, | |
| "n_activated_experts": 3, | |
| "n_expert_groups": 1, | |
| "n_limited_groups": 1, | |
| "n_null_experts": 2, | |
| "n_positions": 512, | |
| "num_decoder_layers": 4, | |
| "num_decoder_segments": 2, | |
| "num_heads": 4, | |
| "num_layers": 4, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "instance_wise_rope", | |
| "prediction_length": 64, | |
| "pretrained_model_path": "", | |
| "quantiles": [ | |
| 0.1, | |
| 0.2, | |
| 0.3, | |
| 0.4, | |
| 0.5, | |
| 0.6, | |
| 0.7, | |
| 0.8, | |
| 0.9 | |
| ], | |
| "reg_token_id": 1, | |
| "relative_attention_max_distance": 128, | |
| "relative_attention_num_buckets": 32, | |
| "rope_init": "exp", | |
| "scale_method": "log", | |
| "score_func": "softmax", | |
| "seq_balance_factor": 0.0001, | |
| "target_dist": [ | |
| 0.05, | |
| 0.1, | |
| 0.55, | |
| 0.15, | |
| 0.15 | |
| ], | |
| "transformers_version": "4.56.1", | |
| "update_bias_rate": 0.01, | |
| "use_cache": true, | |
| "use_reg_token": true, | |
| "vocab_size": 2 | |
| } | |