README.md

---
license: cc-by-nc-sa-4.0
language:
- en
datasets:
- garage-bAInd/Open-Platypus
---
Some GGUF v2 quantizations of the model [RobbeD/OpenLlama-Platypus-3B](https://huggingface.co/RobbeD/OpenLlama-Platypus-3B) 

# OpenLlama-Platypus-3B

OpenLlama-Platypus-3B is an instruction fine-tuned model based on the OpenLLaMA-3B transformer architecture.

### Model Details

* **Trained by**: Robbe De Sutter
* **Model type:**  **OpenLlama-Platypus-3B** is an auto-regressive language model based on the OpenLLaMA-3B transformer architecture.
* **Language(s)**: English
* **License for base weights**: Non-Commercial Creative Commons license ([CC BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/))

### Prompt Template
```
### Instruction:
<prompt> (without the <>)
### Response:
```

### Training Dataset

`RobbeD/OpenLlama-Platypus-3B` trained using STEM and logic based dataset [`garage-bAInd/Open-Platypus`](https://huggingface.co/datasets/garage-bAInd/Open-Platypus).

Please see their [paper](https://arxiv.org/abs/2308.07317) and [project webpage](https://platypus-llm.github.io) for additional information.

### Training Procedure

`RobbeD/OpenLlama-Platypus-3B` was instruction fine-tuned using LoRA on 1 RX 6900 XT 16GB.