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README.md
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- reasoning
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- mathematical-reasoning
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datasets:
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- ai2_arc
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- gsm8k
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base_model:
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- mistralai/Ministral-3-3B-Base-2512
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library_name: transformers
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metrics:
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- type: accuracy
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name: Accuracy
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value: 24
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---
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# RubiNet
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## Repository Notes
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If you publish this repository publicly, keep the model title as **RubiNet** and place extra technical details such as benchmark scores, language coverage, and architecture hints in the tags and description rather than in the title.
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- reasoning
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- mathematical-reasoning
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datasets:
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- HuggingFaceH4/ultrachat_200k
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base_model:
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- mistralai/Ministral-3-3B-Base-2512
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library_name: transformers
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metrics:
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- type: accuracy
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name: Accuracy
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value: 24
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---
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# RubiNet
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## Repository Notes
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+
If you publish this repository publicly, keep the model title as **RubiNet** and place extra technical details such as benchmark scores, language coverage, and architecture hints in the tags and description rather than in the title.
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