Llama-3-Open-Ko-8B
Maintainer: beomi
75
🤖
| 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 |
Create account to get full access
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-8Bmodel 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!
Related Models
🎲
Llama-3-Open-Ko-8B-Instruct-preview
51
The Llama-3-Open-Ko-8B-Instruct-preview model is a continuation of the Llama-3-8B model, developed by Junbum Lee (Beomi) and trained on over 60GB of publicly available Korean text data. This model uses the new Llama-3 tokenizer and was trained on 17.7B+ tokens, slightly more than the Llama-2-Ko tokenizer. The model was trained on TPUv5e-256 with support from the TRC program by Google. Applying ideas from the Chat Vector paper, the maintainer released an instruction-tuned version called the Llama-3-Open-Ko-8B-Instruct-preview, which serves as a great starting point for creating new chat and instruction models. Model inputs and outputs Inputs Text input only Outputs Generates text and code Capabilities The Llama-3-Open-Ko-8B-Instruct-preview model is a capable text generation model that can handle a variety of tasks, from open-ended conversation to code generation. Its Korean language understanding and generation abilities make it well-suited for applications targeting Korean-speaking users. What can I use it for? The Llama-3-Open-Ko-8B-Instruct-preview model can be used for a wide range of natural language processing tasks, such as chatbots, language modeling, and text generation. Its instruction-tuned version is particularly well-suited for building conversational AI assistants that can engage in open-ended dialogue and help with various tasks. Developers can fine-tune the model further using their own data to create custom applications tailored to their specific needs. Things to try One interesting aspect of the Llama-3-Open-Ko-8B-Instruct-preview model is its potential for multilingual applications. While the model was primarily trained on Korean data, its underlying architecture is capable of generating text in multiple languages. Developers could explore fine-tuning the model on datasets in other languages to create versatile language models that can serve users across different linguistic backgrounds.
Updated Invalid Date
🎯
llama-2-ko-7b
169
The llama-2-ko-7b model is an advanced iteration of the Llama 2 language model, developed by Junbum Lee (Beomi). This model builds upon the capabilities of Llama 2 by incorporating a Korean corpus into its further pretraining, resulting in an expanded vocabulary and improved performance on Korean-language tasks. Like Llama 2, llama-2-ko-7b operates within the 7 billion parameter range of the Llama 2 family of models. Model inputs and outputs Inputs Text**: The llama-2-ko-7b model takes text as input. Outputs Text**: The model generates text as output. Capabilities The llama-2-ko-7b model is a powerful generative language model that can be leveraged for a variety of Korean-language tasks. Its expanded vocabulary and Korean-specific pretraining allow it to generate more natural and contextually-relevant text compared to models trained solely on English data. This makes it a compelling option for applications such as chatbots, content generation, and language translation involving the Korean language. What can I use it for? The llama-2-ko-7b model can be used for a range of Korean-language natural language processing tasks, including: Chatbots and conversational AI**: The model's ability to generate coherent and contextual Korean-language text makes it well-suited for building chatbots and other conversational AI assistants. Content generation**: llama-2-ko-7b can be used to generate Korean-language articles, product descriptions, and other types of content. Language translation**: The model's understanding of Korean language structure and vocabulary can be leveraged to assist in translating between Korean and other languages. Things to try One interesting aspect of the llama-2-ko-7b model is its handling of Korean tokenization. Compared to the original Llama 2 model, llama-2-ko-7b tokenizes Korean text in a more natural and intuitive way, treating punctuation marks like commas and periods as separate tokens. This can lead to more coherent and grammatically-correct text generation in Korean. Developers working on Korean-language NLP tasks may want to experiment with using llama-2-ko-7b as a starting point and fine-tuning it further on domain-specific data to unlock its full potential.
Updated Invalid Date
🤔
Meta-Llama-3-8B-Instruct
61
The Meta-Llama-3-8B-Instruct is part of the Meta Llama 3 family of large language models (LLMs) developed by NousResearch. This 8 billion parameter model is a pretrained and instruction-tuned generative text model, optimized for dialogue use cases. The Llama 3 instruction-tuned models are designed to outperform many open-source chat models on common industry benchmarks, while prioritizing helpfulness and safety. Model inputs and outputs Inputs The model takes text input only. Outputs The model generates text and code. Capabilities The Meta-Llama-3-8B-Instruct model is a versatile language generation tool that can be used for a variety of natural language tasks. It has been shown to perform well on common industry benchmarks, outperforming many open-source chat models. The instruction-tuned version is particularly adept at engaging in helpful and informative dialogue. What can I use it for? The Meta-Llama-3-8B-Instruct model is intended for commercial and research use in English. The instruction-tuned version can be used to build assistant-like chat applications, while the pretrained model can be adapted for a range of natural language generation tasks. Developers should review the Responsible Use Guide and consider incorporating safety tools like Meta Llama Guard 2 when deploying the model. Things to try Experiment with the model's dialogue capabilities by providing it with different types of prompts and personas. Try using the model to generate creative writing, answer open-ended questions, or assist with coding tasks. However, be mindful of potential risks and leverage the safety resources provided by the maintainers to ensure responsible deployment.
Updated Invalid Date
🗣️
Meta-Llama-3-8B
76
The Meta-Llama-3-8B is part of the Meta Llama 3 family of large language models (LLMs) developed and released by Meta. This collection of pretrained and instruction tuned generative text models comes in 8B and 70B parameter sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many available open source chat models on common industry benchmarks. Meta took great care to optimize helpfulness and safety when developing these models. The Meta-Llama-3-70B and Meta-Llama-3-8B-Instruct are other models in the Llama 3 family. The 70B parameter model provides higher performance than the 8B, while the 8B Instruct model is optimized for assistant-like chat. Model inputs and outputs Inputs The Meta-Llama-3-8B model takes text input only. Outputs The model generates text and code output. Capabilities The Meta-Llama-3-8B demonstrates strong performance on a variety of natural language processing benchmarks, including general knowledge, reading comprehension, and task-oriented dialogue. It excels at following instructions and engaging in open-ended conversations. What can I use it for? The Meta-Llama-3-8B is intended for commercial and research use in English. The instruction tuned version is well-suited for building assistant-like chat applications, while the pretrained model can be adapted for a range of natural language generation tasks. Developers can leverage the Llama Guard and other Purple Llama tools to enhance the safety and reliability of applications using this model. Things to try The clear strength of the Meta-Llama-3-8B model is its ability to engage in open-ended, task-oriented dialogue. Developers can leverage this by building conversational interfaces that leverage the model's instruction-following capabilities to complete a wide variety of tasks. Additionally, the model's strong grounding in general knowledge makes it well-suited for building information lookup tools and knowledge bases.
Updated Invalid Date