Open-Llama-2-Ko represents an advanced iteration of the Llama 2 model, featuring an expanded vocabulary and the inclusion of a Korean corpus for enhanced pretraining. Similar to its predecessor, Llama-2-Ko, this model operates within the range of generative text models, with parameter counts ranging from 7 billion to 70 billion. The focus of this repository is on the 7B pretrained version, designed to integrate seamlessly with the Hugging Face Transformers format.
The primary distinction between the Llama-2-Ko Series and Open-Llama-2-Ko lies in the dataset. Open-Llama-2-Ko exclusively utilizes publicly accessible Korean corpora, including sources such as
AI Hub
,
Modu Corpus, 모두의 말뭉치
, and
Korean Wikipedia
.
As training was conducted solely with publicly available corpora, this model is open for unrestricted use by everyone, adhering to the MIT License*.
*MIT License under LLAMA 2 COMMUNITY LICENSE AGREEMENT
Model Details
Model Developers:
Junbum Lee (Beomi)
Variations:
Open-Llama-2-Ko will be available in different parameter sizes — 7B and 13B — along with various pretrained options.
Input:
The model accepts only text input.
Output:
The model produces text output exclusively.
Model Architecture:
Open-Llama-2-Ko is an auto-regressive language model that leverages an optimized transformer architecture derived from Llama-2.
Training Data
Parameters
Content Length
GQA
Tokens
Learning Rate
Llama 2
A curated mix of Publicly Accessible Korean Corpora
7B
2k
✘
>15B*
5e
-5
Training Corpus
The model was trained using selected datasets from AIHub and Modu Corpus. Detailed information about the training datasets is available below:
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