For the electrical engineering community
A unique, deployable and efficient 2.7 billion parameters model in the field of electrical engineering. This repo contains the adapters from the LoRa fine-tuning of the phi-2 model from Microsoft. It was trained on the STEM-AI-mtl/Electrical-engineering dataset combined with garage-bAInd/Open-Platypus.
- Developed by: STEM.AI
- Model type: Q&A and code generation
- Language(s) (NLP): English
- Finetuned from model: microsoft/phi-2
Direct Use
Q&A related to electrical engineering, and Kicad software. Creation of Python code in general, and for Kicad's scripting console.
Refer to microsoft/phi-2 model card for recommended prompt format.
Inference script
Training Details
Training Data
Dataset related to electrical engineering: STEM-AI-mtl/Electrical-engineering It is composed of queries, 65% about general electrical engineering, 25% about Kicad (EDA software) and 10% about Python code for Kicad's scripting console.
In additionataset related to STEM and NLP: garage-bAInd/Open-Platypus
Training Procedure
A LoRa PEFT was performed on a 48 Gb A40 Nvidia GPU.
Model Card Authors
STEM.AI: [email protected]
William Harbec
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