|
--- |
|
language: |
|
- ko |
|
tags: |
|
- llama-2 |
|
- instruct |
|
- instruction |
|
pipeline_tag: text-generation |
|
license: llama2 |
|
datasets: |
|
- beomi/KoAlpaca-v1.1a |
|
- kyujinpy/KOpen-platypus |
|
--- |
|
|
|
# Llama-2-ko-instruct-13B |
|
|
|
### Model Details |
|
- Base Model: [LLaMA-2-koen-13B](https://huggingface.co/beomi/llama-2-koen-13b) |
|
|
|
### Datasets |
|
- Added some English to Korean translation data based on the KOpen-platypus and KoAlpaca datasets. Translations utilized AWS blog content that I translated myself. |
|
- Extracted only sentences longer than 100 characters and removed similar sentences with KoSimCSE (daekeun-ml/KoSimCSE-supervised-kobigbird-roberta-large) |
|
- Created category-specific prompts that encourage AI to answer despite hallucination for future RLHF (Reinforcement Learning From Human Feedback) or DPO (Direct Preference Optimization) tuning. |
|
|
|
### License |
|
- Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License, under LLAMA 2 COMMUNITY LICENSE AGREEMENT |
|
|
|
This model was created as a personal experiment, unrelated to the organization I work for. |