opt-6.7b-lora / config.json
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{
"_name_or_path": "ibm/TTM",
"adaptive_patching_levels": 3,
"architectures": [
"TinyTimeMixerForPrediction"
],
"context_length": 512,
"d_model": 192,
"decoder_adaptive_patching_levels": 0,
"decoder_d_model": 128,
"decoder_mode": "common_channel",
"decoder_num_layers": 2,
"decoder_raw_residual": false,
"distribution_output": "student_t",
"dropout": 0.2,
"expansion_factor": 2,
"frequency_token_vocab_size": 5,
"gated_attn": true,
"head_dropout": 0.2,
"init_processing": true,
"init_std": 0.02,
"loss": "mse",
"mode": "common_channel",
"model_type": "tinytimemixer",
"norm_eps": 1e-05,
"norm_mlp": "LayerNorm",
"num_input_channels": 1,
"num_layers": 2,
"num_parallel_samples": 100,
"num_patches": 8,
"patch_last": true,
"patch_length": 64,
"patch_stride": 64,
"positional_encoding_type": "sincos",
"post_init": false,
"prediction_channel_indices": null,
"prediction_filter_length": 24,
"prediction_length": 96,
"resolution_prefix_tuning": false,
"scaling": "std",
"self_attn": false,
"self_attn_heads": 1,
"torch_dtype": "float32",
"transformers_version": "4.46.2",
"use_decoder": true,
"use_positional_encoding": false
}