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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