QWEN2.5-7B Silicon Photonics LoRA

This is a fine-tuned version of QWEN2.5-7B-Instruct specialized for silicon photonics education. The model has been fine-tuned using LoRA (Low-Rank Adaptation) on academic content from YouTube videos about silicon photonics.

Model Details

  • Base Model: QWEN2.5-7B-Instruct
  • Fine-tuning Method: LoRA (Low-Rank Adaptation)
  • Domain: Silicon Photonics Education
  • Training Data: Academic YouTube videos and educational content

Usage

This model is designed to provide detailed, technical answers about silicon photonics topics including:

  • Waveguide design principles
  • Photonic device fabrication
  • Integration with CMOS processes
  • Applications in data centers and telecommunications
  • Recent advances in the field

Inference Endpoint

You can use this model via the Hugging Face Inference API:

https://api-inference.huggingface.co/models/mjoshs/qwen2.5-7b-silicon-photonics-lora

Training

The model was fine-tuned on silicon photonics educational content extracted from academic YouTube videos, providing specialized knowledge in this domain.

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