by farbodtavakkoli
Open source · 161k downloads · 0 likes
OTel LLM 12B IT is a language model specialized in the telecommunications sector, designed to meet the technical and regulatory needs of the industry. Fine-tuned on data from recognized sources such as 3GPP specifications, GSMA documents, or RFCs, it excels in analyzing and understanding complex technical documents related to networks, security, or APIs. Its key capabilities include processing precise questions about telecom standards and assisting in domain-specific retrieval-augmented generation (RAG) applications. The model stands out for its sector-specific expertise, developed through collaboration with over 200 experts and major institutions in the field. It is particularly aimed at professionals seeking to automate information extraction or build decision-support tools based on reliable telecom data.
OTel-LLM-12B-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 | google/gemma-3-12b-it |
| Parameters | 12B |
| 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]