| | --- |
| | license: apache-2.0 |
| | language: |
| | - en |
| | base_model: |
| | - Qwen/Qwen3-8B |
| | tags: |
| | - telecom |
| | - telecommunications |
| | - gsma |
| | - fine-tuned |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # OTel-Reranker-8B |
| |
|
| | **OTel-Reranker-8B** is a telecom-specialized reranker model fine-tuned on telecommunications domain data. It is part of the [OTel Family of Models](https://huggingface.co/collections/farbodtavakkoli/otel-reranker), an open-source initiative to build industry-standard AI models for the global telecommunications sector. |
| |
|
| | ## Model Details |
| |
|
| | | Attribute | Value | |
| | |-----------|-------| |
| | | **Base Model** | [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) | |
| | | **Parameters** | 8B | |
| | | **Training Method** | Full parameter fine-tuning | |
| | | **Language** | English | |
| | | **License** | Apache 2.0 | |
| |
|
| | ## Training Data |
| |
|
| | The model was trained on high-quality telecom-focused data curated by 200+ domain experts from organizations including AT&T, GSMA, Purdue University, Khalifa University, University of Leeds, Yale University, and others. |
| |
|
| | **Data Sources:** |
| | - GSMA Permanent Reference Documents |
| | - 3GPP Specifications |
| | - O-RAN Documentation |
| | - RFC Series |
| | - eSIM, terminals, security, networks, roaming, APIs |
| | - Industry whitepapers and telecom academic papers |
| |
|
| | ## Intended Use |
| |
|
| | This model is optimized for: |
| | - **RAG applications** in telecommunications |
| | - **Question answering** on telecom specifications and standards |
| |
|
| | ## Related Models |
| |
|
| | ### Language Models |
| | - [OTel LLM Collection](https://huggingface.co/collections/farbodtavakkoli/otel-llm) |
| |
|
| | ### Embedding Models |
| | - [OTel Embedding Collection](https://huggingface.co/collections/farbodtavakkoli/otel-embedding) |
| |
|
| | ### Reranker Models |
| | - [OTel Reranker Collection](https://huggingface.co/collections/farbodtavakkoli/otel-reranker) |
| |
|
| | ## Related Datasets |
| |
|
| | - [OTel-Embedding](https://huggingface.co/datasets/farbodtavakkoli/OTel-Embedding) |
| | - [OTel-Safety](https://huggingface.co/datasets/farbodtavakkoli/OTel-Safety) |
| | - [OTel-LLM](https://huggingface.co/datasets/farbodtavakkoli/OTel-LLM) |
| | - [OTel-Reranker](https://huggingface.co/datasets/farbodtavakkoli/OTel-Reranker) |
| |
|
| | ## Training Infrastructure |
| |
|
| | - **Framework**: ScalarLM (GPU-agnostic) |
| | - **Compute**: TensorWave with AMD GPUs and Azure with Nvidia GPUs. |
| |
|
| | ## Citation |
| |
|
| | ```bibtex |
| | @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} |
| | } |
| | ``` |
| |
|
| | ## Contact |
| |
|
| | For questions or collaboration inquiries: farbod.tavakkoli@att.com or farbodtavakoli@gmail.com |
| |
|
