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  license: apache-2.0
 
 
 
 
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- Trained on the Metamath Multishot dataset from base Mistral, as well as the Vicuna dataset and the OrcaChat dataset. Dataset will be updated shortly.
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- Instruction tuned from base Mistral 7B for 3 epochs on the above dataset.
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- Model Description
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- This model is trained on a multi-shot version of the popular Metamath dataset. This aligns the model more closely to the few-shot setting of the LLM leaderboard evaluation, as well as robustifies the model for few-shot use in natural usage.
 
 
 
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  license: apache-2.0
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+ datasets:
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+ - abacusai/MetaMathFewshot
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+ - shahules786/orca-chat
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+ - anon8231489123/ShareGPT_Vicuna_unfiltered
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+ Trained on the MetamathFewshot (https://huggingface.co/datasets/abacusai/MetaMathFewshot) dataset from base Mistral, as well as the Vicuna (https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered) dataset and the OrcaChat (https://huggingface.co/datasets/shahules786/orca-chat) dataset.
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+ Instruction tuned with the following parameters:
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+ - LORA, Rank 8, Alpha 16, Dropout 0.05, all modules (QKV and MLP)
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+ - 3 epochs
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+ - Micro Batch Size 32 over 4xH100, gradient accumulation steps = 1
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+ - AdamW with learning rate 5e-5