algograpV4 / README.md
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---
library_name: transformers
license: cc-by-nc-4.0
language:
- ko
---
<p align="left">
<img src="https://huggingface.co/algograp-Inc/algograpV4/resolve/main/[email protected]" width="50%"/>
<p>
# algograp-Inc/algograpV4
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
- **Developed by:** algograp-Inc
- **License:** cc-by-nc-4.0
## Hardware and Software
* **Hardware**: We utilized an H100x4 * 1
* **Training Factors**: We fine-tuned this model using a combination of the [DeepSpeed library](https://github.com/microsoft/DeepSpeed) and the [HuggingFace TRL Trainer](https://huggingface.co/docs/trl/trainer) / [HuggingFace Accelerate](https://huggingface.co/docs/accelerate/index)
## Method
- This model was trained using the learning method introduced in the [SOLAR paper](https://arxiv.org/pdf/2312.15166.pdf).
## Base Model
- [yanolja/EEVE-Korean-Instruct-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0)