Time Series Forecasting
TiRex-2
ONNX
Safetensors
TiRex-2 / config.json
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{
"num_blocks": 12,
"embedding_dim": 512,
"input_patch_size": 32,
"output_patch_size": 32,
"input_ff_dim": 2048,
"h_expand": 4,
"context_len": 2048,
"future_len": 320,
"dropout": 0.1,
"quantiles": [
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9
],
"act_func": "torch.nn.SiLU",
"use_qk_norm": true,
"tokenizer_cfg": {
"input_patch_size": 32,
"output_patch_size": 32,
"input_patch_stride": 32
},
"scaler_cfg": {
"use_arcsinh": true,
"binaryaware": true
},
"stack_out_norm_config": {
"eps": 1e-07
},
"tta_diff": true,
"stack_config": {
"templates": {
"slstm_attn": {
"time_mixer": {
"model_type": "bi-slstm",
"embedding_dim": 512,
"num_heads": 4,
"rnn_backend": "flashrnn-cuda",
"num_slstm_heads": 4
},
"variate_mixer": {
"embedding_dim": 512,
"num_heads": 4
},
"dropout": 0.1,
"eps": 1e-07
},
"mlstm_attn": {
"time_mixer": {
"model_type": "bi-mlstm",
"embedding_dim": 512,
"num_heads": 4,
"rnn_backend": "flashrnn-cuda"
},
"variate_mixer": {
"embedding_dim": 512,
"num_heads": 4
},
"dropout": 0.1,
"eps": 1e-07
}
},
"recipe": [
"mlstm_attn",
"slstm_attn",
"mlstm_attn",
"slstm_attn",
"mlstm_attn",
"slstm_attn",
"mlstm_attn",
"slstm_attn",
"mlstm_attn",
"slstm_attn",
"mlstm_attn",
"slstm_attn"
]
}
}