Llama-2-13b-chat-german
Maintainer: jphme
60
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| Property | Value |
|---|---|
| Model Link | View 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
Llama-2-13b-chat-german is a variant of Meta's Llama 2 13b Chat model, finetuned by jphme on an additional dataset in German language. This model is optimized for German text, providing proficiency in understanding, generating, and interacting with German language content. However, the model is not yet fully optimized for German, as it has been trained on a small, experimental dataset and has limited capabilities due to the small parameter count. Some of the finetuning data is also targeted towards factual retrieval, and the model should perform better for these tasks than the original Llama 2 Chat.
Model inputs and outputs
Inputs
- Text input only
Outputs
- Generates German language text
Capabilities
The Llama-2-13b-chat-german model is proficient in understanding and generating German language content. It can be used for tasks like answering questions, engaging in conversations, and producing written German text. However, its capabilities are limited compared to a larger, more extensively trained German language model due to the small dataset it was finetuned on.
What can I use it for?
The Llama-2-13b-chat-german model could be useful for projects that require German language understanding and generation, such as chatbots, language learning applications, or automated content creation in German. While its capabilities are limited, it provides a starting point for experimentation and further development.
Things to try
One interesting thing to try with the Llama-2-13b-chat-german model is to evaluate its performance on factual retrieval tasks, as the finetuning data was targeted towards this. You could also experiment with prompting techniques to see if you can elicit more robust and coherent German language responses from the model.
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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