File size: 1,411 Bytes
e85c291 2a09b27 8c04559 e85c291 8c04559 e85c291 8c04559 e85c291 8c04559 e85c291 8c04559 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
---
base_model: unsloth/gemma-2-27b-it-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma2
- trl
- sft
license: gemma
language:
- en
---
# Model Card for ORANSight Gemma-9B
This model belongs to the first release of the ORANSight family of models.
- **Developed by:** NextG lab@ NC State
- **License:** gemma
- **Context Window:** 8192 tokens
- **Fine Tuning Framework:** Unsloth
### Generate with Transformers
Below is a quick example of how to use the model with Hugging Face Transformers:
```python
from transformers import pipeline
# Example query
messages = [
{"role": "system", "content": "You are an O-RAN expert assistant."},
{"role": "user", "content": "Explain the E2 interface."},
]
# Load the model
chatbot = pipeline("text-generation", model="NextGLab/ORANSight_Gemma_2_9B_Instruct")
result = chatbot(messages)
print(result)
```
### Coming Soon
A detailed paper documenting the experiments and results achieved with this model will be available soon. Meanwhile, if you try this model, please cite the below mentioned paper to acknowledge the foundational work that enabled this fine-tuning.
```bibtex
@article{gajjar2024oran,
title={Oran-bench-13k: An open source benchmark for assessing llms in open radio access networks},
author={Gajjar, Pranshav and Shah, Vijay K},
journal={arXiv preprint arXiv:2407.06245},
year={2024}
}
```
--- |