ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1

Hugging Face
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jun 20, 2024License:llama3Architecture:Transformer0.0K Featherless Exclusive Warm

The Turkish-Llama-8b-Instruct-v0.1 model by ytu-ce-cosmos is an 8 billion parameter instruction-tuned language model, fully fine-tuned from Meta-Llama-3-8B-Instruct. It is specifically optimized for Turkish text generation tasks, leveraging a 30GB Turkish dataset. This model excels at continuing given text snippets in a coherent and contextually relevant manner within the Turkish language.

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Turkish-Llama-8b-Instruct-v0.1: A Turkish-Optimized Llama 3 Model

The ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1 is an 8 billion parameter instruction-tuned language model developed by ytu-ce-cosmos. It is a fully fine-tuned version of the meta-llama/Meta-Llama-3-8B-Instruct model, specifically adapted for the Turkish language.

Key Capabilities

  • Turkish Text Generation: Optimized for generating coherent and contextually relevant text in Turkish.
  • Instruction Following: Designed to follow instructions for various text-based tasks.
  • Contextual Completion: Capable of continuing given text snippets based on its diverse training data.

Training Details

This model was fine-tuned using a substantial 30GB Turkish dataset, which includes a variety of sources such as websites, books, and other text. This extensive Turkish-specific training differentiates it from general-purpose LLMs by enhancing its performance and understanding of the Turkish language.

Considerations

Users should be aware that due to the diverse nature of its training data, the model may exhibit biases. Responsible usage is encouraged.

Acknowledgments

The development of this model was supported by Hugging Face, the National Center for High Performance Computing of Turkey (UHeM), and Google's TPU Research Cloud (TRC).

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
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