farbodtavakkoli/OTel-LLM-270M-IT

Hugging Face
TEXT GENERATIONPricing:Input $0.01 / Cached $0.002 / Output $0.02Concurrent Unit Cost:1Model Size:0.27BQuant:BF16Context Size:32kPublished:Feb 11, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

OTel-LLM-270M-IT by farbodtavakkoli is a 270 million parameter instruction-tuned language model, fine-tuned on OTel telecommunications data. Based on google/gemma-3-270m-it, it specializes in context-grounded telecom answer generation within Retrieval-Augmented Generation (RAG) pipelines. This model significantly improves context-grounded correctness in telecom-specific tasks, showing an 8.5 percentage point increase over its base model.

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OTel-LLM-270M-IT: Specialized Telecom Language Model

OTel-LLM-270M-IT is a 270 million parameter language model developed by farbodtavakkoli, specifically fine-tuned for the telecommunications sector. It is built upon the google/gemma-3-270m-it base model and is part of the OTel Family of Models, an open-source initiative focused on AI resources for global telecommunications. This model excels in generating context-grounded answers for telecom-related queries.

Key Capabilities

  • Context-Grounded Telecom QA: Designed for Retrieval-Augmented Generation (RAG) pipelines, providing precise answers based on retrieved telecom context.
  • Improved Correctness: Demonstrates an 8.5 percentage point improvement in context-grounded correctness over its base model on OTel evaluation datasets.
  • Domain-Specific Training: Fine-tuned on a comprehensive dataset curated by over 100 domain experts, including arXiv papers, 3GPP standards, GSMA documents, and O-RAN specifications.
  • Apache 2.0 Licensed: Released under an open-source license, promoting community use and development.

Good For

  • Telecom RAG Applications: Ideal for systems requiring accurate, context-dependent answers to telecommunications questions.
  • Specialized Telecom AI Development: A foundational model for building AI solutions within the telecom industry.
  • Research and Development: Useful for exploring domain-specific language understanding and generation in telecommunications.

It is important to note that this model is domain-specific to telecommunications and is not intended for unrestricted, context-free general-purpose question answering. Generated content should be verified, especially for operational or critical applications.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

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