OTel-LLM-1.2B-IT: A Specialized Telecom Language Model

OTel-LLM-1.2B-IT is a 1.2 billion parameter, instruction-tuned language model developed by farbodtavakkoli, built upon the LiquidAI/LFM2.5-1.2B-Instruct base model. It is a key component of the OTel Family of Models, an initiative focused on creating open-source AI models for the global telecommunications industry.

Key Capabilities & Training

This model underwent full parameter fine-tuning using a high-quality, English-language dataset curated by over 200 domain experts from leading organizations like AT&T, GSMA, and Purdue University. The training data encompasses a wide range of telecom-focused sources, including:

• GSMA Permanent Reference Documents
• 3GPP Specifications
• O-RAN Documentation
• RFC Series
• Industry whitepapers and academic papers covering eSIM, security, networks, and APIs.

Intended Use Cases

OTel-LLM-1.2B-IT is specifically optimized for applications within the telecommunications domain:

• RAG applications: Enhancing retrieval-augmented generation systems with specialized telecom knowledge.
• Question answering: Providing accurate answers based on telecom specifications and standards.

This model is licensed under Apache 2.0, promoting open access and use within the industry.