Llama-3-Open-Ko-8B

Maintainer: beomi

Total Score

75

Last updated 5/30/2024

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PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The Llama-3-Open-Ko-8B model is a continued pretrained language model based on the original Llama-3-8B. This model was trained fully on publicly available resources, including over 60GB of deduplicated texts. It uses the new Llama-3 tokenizer and was pretrained on 17.7B+ tokens, slightly more than the previous Llama-2-Ko tokenizer. The training was done on TPUv5e-256 with support from the TRC program by Google.

The maintainer, Junbum Lee (Beomi), also released an instruction-tuned version called Llama-3-Open-Ko-8B-Instruct-preview. This model was trained using the idea from the Chat Vector paper and serves as a starting point for creating new chat/instruct models.

Compared to the previous Llama-2-Ko-7b model, the Llama-3-Open-Ko-8B has a larger vocabulary size of 46,336 and improved tokenization for Korean text.

Model inputs and outputs

Inputs

  • Text: The model takes text as input.

Outputs

  • Text: The model generates text as output.
  • Code: The model can also generate code.

Capabilities

The Llama-3-Open-Ko-8B model can be used for a variety of natural language processing tasks, including text generation, language modeling, and code generation. Its expanded vocabulary and improved tokenization for Korean text make it a more capable model for working with Korean language data compared to the previous Llama-2-Ko-7b.

The instruction-tuned Llama-3-Open-Ko-8B-Instruct-preview model is particularly well-suited for chatbot and assistant-like applications, as it has been optimized for dialog use cases.

What can I use it for?

The Llama-3-Open-Ko-8B and Llama-3-Open-Ko-8B-Instruct-preview models can be used for a range of commercial and research applications involving Korean text and language generation, such as:

  • Text generation: Generating high-quality Korean text for content creation, summarization, and creative writing.
  • Chatbots and assistants: Building conversational AI assistants that can engage in natural dialog in Korean.
  • Code generation: Generating Korean-language code snippets or entire programs.
  • Language modeling: Pretraining on the Llama-3-Open-Ko-8B model and fine-tuning for Korean-specific NLP tasks.

Things to try

One interesting aspect of the Llama-3-Open-Ko-8B model is its improved tokenization for Korean text compared to the previous Llama-2-Ko model. You could experiment with the model's ability to handle Korean language input and output, and compare its performance to other Korean language models. Additionally, the instruction-tuned Llama-3-Open-Ko-8B-Instruct-preview model provides a good starting point for building more advanced Korean chatbots and assistants.



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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