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README.md
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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
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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).
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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).
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