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--- |
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datasets: |
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- luffycodes/Tutorbot-Spock-Bio-Dataset |
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license: apache-2.0 |
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tags: |
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- biology |
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--- |
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**NOTE: This "diff model" cannot be used directly.** |
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Users have to apply it on top of the original LLaMA weights to get actual Spock weights. |
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Please use https://github.com/lm-sys/FastChat/blob/main/fastchat/model/apply_delta.py file from https://github.com/lm-sys/FastChat for instructions. |
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<br> |
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<br> |
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# Spock Model Card |
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## Model details |
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**Model type:** |
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Spock is an open-source educational tutoring chatbot trained by fine-tuning LLaMA and Vicuna model on synthetic student-tutorbot conversation generated using a specialized prompt. |
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It is an auto-regressive language model, based on the transformer architecture. |
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**Model date:** |
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Spock was trained between April 2023 and May 2023. |
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**Organizations developing the model:** |
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The Spock team with members from Rice University. |
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**Paper or resources for more information:** |
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https://arxiv.org/abs/2305.13272 |
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**License:** |
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Apache License 2.0 |
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**Where to send questions or comments about the model:** |
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Shashank Sonkar (ss164@rice.edu) |
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## Training dataset |
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700 conversations generated using a specialized prompt from GPT-4. |
