OTel-LLM-14B-IT: A Specialized Telecom Language Model

OTel-LLM-14B-IT, developed by farbodtavakkoli, is a 14 billion parameter language model built upon the Qwen3-14B architecture. It is a key component of the OTel Family of Models, an initiative focused on creating open-source AI for the global telecommunications sector. This model underwent full parameter fine-tuning using a comprehensive dataset curated by over 200 domain experts from leading organizations like AT&T, GSMA, and Purdue University.

Key Capabilities

• Telecom Domain Expertise: Specialized knowledge derived from extensive training on GSMA Permanent Reference Documents, 3GPP Specifications, O-RAN Documentation, RFC Series, and various industry whitepapers.
• Optimized for RAG: Designed to enhance Retrieval Augmented Generation (RAG) applications within the telecommunications industry.
• Precise Question Answering: Excels at answering questions related to complex telecom specifications and standards.
• Robust Training: Leveraged ScalarLM framework and compute resources from TensorWave (AMD GPUs) and Azure (NVIDIA GPUs).

Good For

• Developing RAG systems that require deep understanding of telecommunications data.
• Automating information retrieval from telecom specifications and academic papers.
• Building intelligent assistants for telecom professionals and researchers.

This model is licensed under Apache 2.0 and is part of a broader ecosystem including OTel Embedding and OTel Reranker models, along with related datasets.