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license: apache-2.0
language:
- en
base_model:
- Qwen/Qwen3-4B
tags:
- telecom
- telecommunications
- gsma
- fine-tuned
pipeline_tag: text-classification
---
# OTel-Reranker-4B
**OTel-Reranker-4B** 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/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) |
| **Parameters** | 4B |
| **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, RelationalAI, AMD, GSMA, Purdue University, Khalifa University, University of Leeds, Yale University, The University of Texas at Dallas, NetoAI, and MantisNLP.
**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
If you have any technical questions, please feel free to reach out to farbod.tavakkoli@att.com or farbodtavakoli@gmail.com
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