qwen2.5-7b-silicon-photonics-lora

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.