by farbodtavakkoli
Open source · 87k downloads · 0 likes
OTel LLM 14B IT is a language model specialized in the telecommunications sector, designed to meet the technical and operational needs of this industry. Trained on data from major standards and specifications such as those from GSMA, 3GPP, or O-RAN, it excels in analyzing and understanding complex technical documents. Its key capabilities include answering precise questions about telecom standards, assisting in augmented research applications (RAG), and interpreting various technical documents. This model stands out for its sector-specific expertise, developed through collaboration with over 200 domain experts and organizations, making it a particularly well-suited tool for telecom professionals. It seamlessly integrates into workflows requiring a deep understanding of the sector’s technical and regulatory challenges.
OTel-LLM-14B-IT is a telecom-specialized language model fine-tuned on telecommunications domain data. It is part of the OTel Family of Models, an open-source initiative to build industry-standard AI models for the global telecommunications sector.
| Attribute | Value |
|---|---|
| Base Model | Qwen/Qwen3-14B |
| Parameters | 14B |
| Training Method | Full parameter fine-tuning |
| Language | English |
| License | Apache 2.0 |
The model was trained on high-quality telecom-focused data curated by 200+ domain experts from organizations including AT&T, RelationalAI, AMD, GSMA, Purdue University, Khalifa University, University of Leeds, Yale University, The University of Texas at Dallas, NetoAI, and MantisNLP.
Data Sources:
This model is optimized for:
@misc{otel2026,
title={OTel: Open Telco AI Models},
author={Tavakkoli, Farbod and Diamos, Gregory and Paulk, Roderic and Terrazas, Jorden},
year={2026},
url={https://huggingface.co/farbodtavakkoli}
}
If you have any technical questions, please feel free to reach out to [email protected] or [email protected]