Programmatic AdTech LLM — Mistral 7B
A fine-tuned version of Mistral-7B-Instruct-v0.2 trained on programmatic advertising domain knowledge.
Model Details
- Base model: mistralai/Mistral-7B-Instruct-v0.2
- Fine-tuning method: QLoRA (4-bit quantization + LoRA)
- Developed by: muradAgain
- Language: English
- License: Apache 2.0
Training Details
- Dataset: 96 ad tech Q&A pairs across 10 categories
- Categories: Fundamentals, Supply Path, Ad Fraud, Targeting, CTV, DOOH, Measurement, Privacy, Political Advertising, Brand Safety, Campaign Operations
- Epochs: 3
- Learning rate: 2e-4
- Hardware: Kaggle T4 x2 GPU (free tier)
- Final training loss: 0.19
Use Cases
- Ad tech education and onboarding
- Programmatic advertising Q&A assistant
- Internal tooling for AdOps teams
- Embedded chatbot for ad tech platforms
Limitations
- Trained on a small dataset (96 examples)
- Knowledge limited to training data categories
- Not suitable for real-time bidding decisions or financial advice
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Base model
mistralai/Mistral-7B-Instruct-v0.2