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- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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- # Doc / guide: https://huggingface.co/docs/hub/model-cards
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  datasets:
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  - MU-NLPC/Calc-gsm8k
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  - MU-NLPC/Calc-aqua_rat
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  ## Model Description
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- With the idea to offload a symbolic reasoning from the stochastic language model,
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  we train this model to utilize a calculator **for all applicable numeric operations**.
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  This is achieved by training the model to construct calls to the tool's API in this format:
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@@ -50,7 +48,7 @@ which is subsequently served by extending model's decoder input context by addin
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  Additionally to conventional generation, using Tool-augmented generation requires
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  (1) implementation of the tool(s) and
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- (2) a customization of generate() method augmenting input context on-demand with the outputs of the tools.
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  You can find these two components implemented in the attached **gadgets/model.py** and **gadgets/gadget.py** in this model's repo
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  and the project's [home repo](https://github.com/prompteus/calc-x).
 
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  ---
 
 
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  datasets:
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  - MU-NLPC/Calc-gsm8k
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  - MU-NLPC/Calc-aqua_rat
 
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  ## Model Description
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+ With the idea to offload the symbolic computation from the stochastic language model,
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  we train this model to utilize a calculator **for all applicable numeric operations**.
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  This is achieved by training the model to construct calls to the tool's API in this format:
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  Additionally to conventional generation, using Tool-augmented generation requires
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  (1) implementation of the tool(s) and
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+ (2) a customization of `generate()` method augmenting input context on-demand with the outputs of the tools.
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  You can find these two components implemented in the attached **gadgets/model.py** and **gadgets/gadget.py** in this model's repo
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  and the project's [home repo](https://github.com/prompteus/calc-x).