OPEN-SOLAR-KO-10.7B
Maintainer: beomi
54
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The OPEN-SOLAR-KO-10.7B model is an advanced iteration of the previous upstage/SOLAR-10.7B-v1.0 model, featuring an expanded vocabulary and the inclusion of a Korean corpus for enhanced pretraining. This model was developed by Junbum Lee (Beomi), a model maintainer on Hugging Face.
Compared to the original SOLAR model, the OPEN-SOLAR-KO-10.7B version has a larger vocabulary size of 46,592, and it utilizes a more efficient tokenization process that reduces the number of tokens required for certain commonly used Korean text. This allows the model to handle Korean text more effectively.
The training data for OPEN-SOLAR-KO-10.7B comes exclusively from publicly accessible Korean corpora, including sources such as AI Hub, Modu Corpus, and Korean Wikipedia. By using only publicly available data, this model is open for unrestricted use by everyone, adhering to the Apache2.0 open-source license.
Model inputs and outputs
Inputs
- Text input only
Outputs
- Text output only
Capabilities
The OPEN-SOLAR-KO-10.7B model is a powerful language model that can generate human-like text in Korean. It has demonstrated strong performance in various language tasks, such as text generation, summarization, and question answering. The model's expanded vocabulary and efficient tokenization allow it to handle Korean text with high accuracy.
What can I use it for?
The OPEN-SOLAR-KO-10.7B model is well-suited for a variety of Korean language-related applications, such as chatbots, content generation, language translation, and more. It can be fine-tuned on domain-specific data to create specialized models for tasks like customer service, education, or creative writing.
Things to try
One interesting aspect of the OPEN-SOLAR-KO-10.7B model is its use of publicly available data for pretraining. This approach allows for open and unrestricted use of the model, making it accessible to a wide range of developers and researchers. You could explore using this model as a starting point for your own Korean language projects, or fine-tune it on your own data to create a specialized model tailored to your needs.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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