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marcyano
/
Groot-1
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Text Classification
PyTorch
Safetensors
28 datasets
6 languages
groot
decision-model
multilingual
routing
calibration
long-context
bend
License:
apache-2.0
Model card
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marcyano
Groot 1 v1.1: Folha correction (87.8% vs Jev 85.8%), S+M ensemble
17a55cc
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1 day ago
benchmark.py
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9.82 kB
Groot 1 v1.1: Folha correction (87.8% vs Jev 85.8%), S+M ensemble
1 day ago
make_parity_fixture.py
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4.34 kB
Groot 1 v1.1: Folha correction (87.8% vs Jev 85.8%), S+M ensemble
1 day ago
make_tiny_data.py
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2.18 kB
Groot 1 v1.1: Folha correction (87.8% vs Jev 85.8%), S+M ensemble
1 day ago
needle_eval.py
Safe
4.84 kB
Groot 1 v1.1: Folha correction (87.8% vs Jev 85.8%), S+M ensemble
1 day ago
soup.py
Safe
1.81 kB
Groot 1 v1.1: Folha correction (87.8% vs Jev 85.8%), S+M ensemble
1 day ago
webnews.py
3.99 kB
Groot 1 v1.1: Folha correction (87.8% vs Jev 85.8%), S+M ensemble
1 day ago
webnews2.py
3.02 kB
Groot 1 v1.1: Folha correction (87.8% vs Jev 85.8%), S+M ensemble
1 day ago
webnews3.py
5.87 kB
Groot 1 v1.1: Folha correction (87.8% vs Jev 85.8%), S+M ensemble
1 day ago