Turkish-Llama-8b-v0.1
Maintainer: ytu-ce-cosmos
48
⛏️
| 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 Turkish-Llama-8b-v0.1 model is a fully fine-tuned version of the LLaMA-3 8B model with a 30GB Turkish dataset, developed by the COSMOS AI Research Group at Yildiz Technical University. This model is designed for text generation tasks, providing the ability to continue a given text snippet in a coherent and contextually relevant manner. However, due to the diverse nature of the training data, the model can exhibit biases that users should be aware of.
Model Inputs and Outputs
Inputs
- Text prompt to continue or build upon
Outputs
- Continued text generated in a coherent and contextually relevant manner
Capabilities
The Turkish-Llama-8b-v0.1 model can be used for a variety of text generation tasks in Turkish, such as creative writing, summarization, and dialogue generation. The model's fine-tuning on a large Turkish dataset allows it to generate text that is fluent and natural-sounding in the Turkish language.
What Can I Use It For?
The Turkish-Llama-8b-v0.1 model can be a valuable tool for Turkish language applications and projects, such as:
- Developing chatbots or virtual assistants that can engage in natural conversations in Turkish
- Generating Turkish text for creative writing, storytelling, or script development
- Summarizing longer Turkish text passages into concise summaries
- Assisting with language learning and practice for Turkish speakers
Things to Try
One interesting thing to try with the Turkish-Llama-8b-v0.1 model is to explore its ability to generate coherent and contextually relevant text in response to diverse Turkish prompts. You could try providing the model with partial sentences, dialogue snippets, or even just keywords, and see how it continues the text in a natural and logical way. This can help uncover the model's strengths and limitations in understanding and generating Turkish language.
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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