đ Llama-3-Open-Ko-8B
This project provides a quantized version of the Llama-3-Open-Ko-8B model, which is based on the Llama-3 framework and optimized for Korean language tasks.
đ Quick Start
Ollama
The following is the Modelfile for Ollama:
FROM Llama-3-Open-Ko-8B-Q8_0.gguf
TEMPLATE """{{- if .System }}
<s>{{ .System }}</s>
{{- end }}
<s>Human:
{{ .Prompt }}</s>
<s>Assistant:
"""
SYSTEM """A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions."""
PARAMETER temperature 0
PARAMETER num_predict 3000
PARAMETER num_ctx 4096
PARAMETER stop <s>
PARAMETER stop </s>
Update @ 2024.04.24: Release Llama-3-Open-Ko-8B model & Llama-3-Open-Ko-8B-Instruct-preview
⨠Features
đ Documentation
Model Details
Property |
Details |
Model Type |
Llama-3-Open-Ko-8B is a continued pretrained language model based on the Llama-3-8B framework. Llama-3-Open-Ko-8B-Instruct-preview incorporates concepts from the Chat Vector paper. Meta Llama 3 is developed and released by Meta. |
Training Data |
Same as Open-Solar-Ko Dataset. The Llama-3-Open-Ko model is trained with over 60GB of deduplicated texts sourced from publicly available resources. |
Params |
8B |
Context length |
8k |
GQA |
Yes |
Token count |
17.7B+ |
Knowledge cutoff |
Jun, 2023 |
Model Developers |
Junbum Lee (Beomi) |
Variations |
Llama-3-Open-Ko is available in one configuration â 8B. |
Input/Output |
Models accept text input and generate text and code. |
Model Architecture |
Llama 3 utilizes an optimized transformer architecture. |
*Dataset list available here
Intended Use
- Commercial and Research Applications: Llama 3 is designed for use in English, tailored for assistant-like chat in its instruction-tuned models, while the pretrained models are versatile across various natural language generation tasks.
- Out-of-scope: Any use violating applicable laws, regulations, or the Acceptable Use Policy and Llama 3 Community License is prohibited.
Responsibility & Safety
Meta's commitment to Responsible AI includes steps to limit misuse and harm while supporting the open source community. Developers are encouraged to implement safety best practices and use resources like Meta Llama Guard 2 and Code Shield to tailor safety needs specifically to their use cases.
Responsible Release
Following a rigorous process against misuse, we ensure all safety and ethical guidelines are adhered to, as detailed in our Responsible Use Guide.
Ethical Considerations and Limitations
Llama 3 is built on the principles of openness, inclusivity, and helpfulness, designed to be accessible and valuable across diverse backgrounds and use cases. Developers should undertake thorough safety testing and tuning for specific applications before deployment.
Citation instructions
Llama-3-Open-Ko
@article{llama3openko,
title={Llama-3-Open-Ko},
author={L, Junbum},
year={2024},
url={https://huggingface.co/beomi/Llama-3-Open-Ko-8B}
}
Original Llama-3
@article{llama3modelcard,
title={Llama 3 Model Card},
author={AI@Meta},
year={2024},
url = {https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md}
}
License
The model is released under the llama3 license.