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Generates a LeetCode Question taking difficulty level and topic as input.

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: Usaid Bin Rehan
  • Funded by: NVIDIA Research Center
  • Model type: Question-Answering
  • Language(s) (NLP): English
  • License: None
  • Finetuned from model: Zephyr-7B

Model Sources [optional]

  • Paper [optional]: currently in works
  • Demo [optional]: will be made public soon

Uses

The model can be used directly in any LMS to generate LeetCode questions or can be fine-tuned on further difficulty and topic categorized questions.

Direct Use

The model can be inferenced to respond with LeetCode question that is categorized by the topic and difficulty level passed as prompt.

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Out-of-Scope Use

Generating questions of courses other than programming has not been validated

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Bias, Risks, and Limitations

It is limited to only generating LeetCode questions it has been trained on

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Recommendations

It has been designed to generate popular LeetCode questions for practice

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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