---
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