Edit model card

Higgs Model Card

Github details

Please checkout the repo: https://github.com/luffycodes/Tutorbot-Spock-Phys.

Model details

Model type: Higgs is an open-source educational tutoring chatbot trained by fine-tuning LLaMA-2-70B-chat model on synthetic student-tutorbot conversations generated using specialized prompts. Higgs performs a code soliloquy (an inner monologue) in which Higgs prompts itself through a series of prompts to decide if it's next response to the student would need any math calculations. If Higgs determines that the response might require such a calculation, such as in cases to verify student calculation, it outputs python code. Then, it uses the output of the python code to frame a mathematically accurate reply to the student.

Model date: Higgs was trained between May 2023 and Sept 2023.

Organizations developing the model: The Higgs (Spock) team with members from Rice University and OpenStax.

Where to send questions or comments about the model: Shashank Sonkar (ss164@rice.edu)

If you use this work, please cite: Code Soliloquies for Accurate Calculations in Large Language Models https://arxiv.org/abs/2309.12161

@misc{sonkar2023code,
      title={Code Soliloquies for Accurate Calculations in Large Language Models}, 
      author={Shashank Sonkar and MyCo Le and Xinghe Chen and Lucy Liu and Debshila Basu Mallick and Richard G. Baraniuk},
      year={2023},
      eprint={2309.12161},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
Downloads last month
1,411
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.