Llama-3.1-8B-appreciation

Maintained By
eltorio

Llama-3.1-8B-appreciation

PropertyValue
Base Modelmeta-llama/Llama-3.1-8B
LicenseAGPL-3.0
LanguageFrench
Training Dataseteltorio/appreciation

What is Llama-3.1-8B-appreciation?

Llama-3.1-8B-appreciation is a specialized French language model designed to assist secondary school teachers in generating student evaluations. Built on the Llama-3.1-8B architecture, this model has been fine-tuned to produce personalized, constructive feedback based on student performance metrics and behavioral indicators.

Implementation Details

The model utilizes PEFT (Parameter-Efficient Fine-Tuning) methodology and operates through a Gradio interface that accepts various input parameters including academic performance, behavior ratings, and participation metrics. The system is designed to generate concise evaluations between 1-40 words while maintaining a supportive and constructive tone.

  • Built using PEFT methodology on Llama-3.1-8B base model
  • Trained on a curated dataset of approximately 250 representative evaluations
  • Implements real-world anonymized teacher feedback examples
  • Requires CUDA-capable GPU for operation

Core Capabilities

  • Generates personalized student evaluations in French
  • Processes multiple input parameters including trimester grades and behavioral metrics
  • Provides constructive feedback while maintaining appropriate tone
  • Supports evaluation across different academic trimesters
  • Handles progressive assessment tracking

Frequently Asked Questions

Q: What makes this model unique?

This model specifically addresses the French secondary education context, providing automated yet personalized student evaluations while maintaining educational standards and ethical considerations. It's designed to be a supportive tool rather than a replacement for teacher judgment.

Q: What are the recommended use cases?

The model is recommended for French secondary school teachers as an assistive tool for drafting initial student evaluations. All generated content should be reviewed and modified by teachers before use, as explicitly stated in the model's ethical guidelines.

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