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