Edit model card

Model Card for Model ID

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.

[More Information Needed]

[More Information Needed]

Out-of-Scope Use

Generating questions of courses other than programming has not been validated

[More Information Needed]

Bias, Risks, and Limitations

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

[More Information Needed]

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.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

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

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

Downloads last month
2
Safetensors
Model size
7.24B params
Tensor type
BF16
·
Inference API
Input a message to start chatting with Usaid/ContextClassy-Merged-V1.
Model is too large to load in Inference API (serverless). To try the model, launch it on Inference Endpoints (dedicated) instead.