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add model info for Toto 2.0 (4M/22M/313M/1B/2.5B), Chronos 2, Moirai 2, TimesFM 2.5 results
Browse files- results/models_info/chronos_2/config.json +8 -0
- results/models_info/moirai_2_small/config.json +8 -0
- results/models_info/timesfm_2_5_200m/config.json +8 -0
- results/models_info/toto_2.0_1b/config.json +8 -0
- results/models_info/toto_2.0_2.5b/config.json +8 -0
- results/models_info/toto_2.0_22m/config.json +8 -0
- results/models_info/toto_2.0_313m/config.json +8 -0
- results/models_info/toto_2.0_4m/config.json +8 -0
results/models_info/chronos_2/config.json
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{
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"model": "Chronos_2",
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"tmp_name": "chronos_2",
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"model_type": "pretrained",
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"model_dtype": "float32",
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"model_link": "https://huggingface.co/amazon/chronos-2",
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"code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/chronos2.ipynb"
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}
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results/models_info/moirai_2_small/config.json
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{
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"model": "Moirai_2.0_small",
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"tmp_name": "moirai_2_small",
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"model_type": "pretrained",
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"model_dtype": "float32",
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"model_link": "https://huggingface.co/Salesforce/moirai-2.0-R-small",
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"code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/moirai2.ipynb"
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}
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results/models_info/timesfm_2_5_200m/config.json
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{
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"model": "TimesFM_2.5_200M",
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"tmp_name": "timesfm_2_5_200m",
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"model_type": "pretrained",
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"model_dtype": "float32",
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"model_link": "https://huggingface.co/google/timesfm-2.5-200m-pytorch",
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"code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/timesfm2_5.ipynb"
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}
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results/models_info/toto_2.0_1b/config.json
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{
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"model": "Toto_2.0_1B",
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"tmp_name": "toto_2.0_1b",
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"model_type": "pretrained",
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"model_dtype": "float32",
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"model_link": "https://huggingface.co/Datadog/Toto-2.0-1b",
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"code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/toto2.ipynb"
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}
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results/models_info/toto_2.0_2.5b/config.json
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{
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"model": "Toto_2.0_2.5B",
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"tmp_name": "toto_2.0_2.5b",
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"model_type": "pretrained",
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"model_dtype": "float32",
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"model_link": "https://huggingface.co/Datadog/Toto-2.0-2.5b",
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"code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/toto2.ipynb"
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}
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results/models_info/toto_2.0_22m/config.json
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{
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"model": "Toto_2.0_22M",
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"tmp_name": "toto_2.0_22m",
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"model_type": "pretrained",
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"model_dtype": "float32",
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"model_link": "https://huggingface.co/Datadog/Toto-2.0-22m",
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"code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/toto2.ipynb"
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}
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results/models_info/toto_2.0_313m/config.json
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{
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"model": "Toto_2.0_313M",
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"tmp_name": "toto_2.0_313m",
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"model_type": "pretrained",
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"model_dtype": "float32",
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"model_link": "https://huggingface.co/Datadog/Toto-2.0-313m",
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"code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/toto2.ipynb"
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}
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results/models_info/toto_2.0_4m/config.json
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{
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"model": "Toto_2.0_4M",
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"tmp_name": "toto_2.0_4m",
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"model_type": "pretrained",
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"model_dtype": "float32",
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"model_link": "https://huggingface.co/Datadog/Toto-2.0-4m",
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"code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/toto2.ipynb"
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}
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