File size: 1,217 Bytes
e84be1d 921412a e84be1d 921412a e84be1d 921412a e84be1d 921412a e84be1d 921412a e84be1d 921412a e84be1d 921412a e84be1d 921412a e84be1d 921412a e84be1d 921412a e84be1d 921412a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | ---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- programmatic-advertising
- ad-tech
- fine-tuned
- lora
- mistral
language:
- en
---
# 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 |