Turkcell-LLM-7b-v1

Maintainer: TURKCELL

Total Score

59

Last updated 5/28/2024

🗣️

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 Turkcell-LLM-7b-v1 is an extended version of a Mistral-based Large Language Model (LLM) for Turkish, developed by TURKCELL. It was trained on a cleaned Turkish raw dataset containing 5 billion tokens, using the DORA method initially and then fine-tuned with Turkish instruction sets using the LORA method. This model is comparable to other Turkish LLMs like the Trendyol-LLM-7b-chat-v0.1, which is also based on a 7B parameter model and fine-tuned for chat.

Model inputs and outputs

The Turkcell-LLM-7b-v1 is a text-to-text model, taking in Turkish text as input and generating Turkish text as output. The model can be used for a variety of natural language processing tasks, such as language generation, text summarization, and question answering.

Inputs

  • Turkish text: The model accepts Turkish text as input, which can be in the form of a single sentence, a paragraph, or a multi-turn dialogue.

Outputs

  • Generated Turkish text: The model outputs Turkish text, which can be a continuation of the input text, a summary, or a response to a question.

Capabilities

The Turkcell-LLM-7b-v1 model has been designed to excel at processing and generating Turkish text. It can be used for tasks such as Turkish language generation, text summarization, and question answering. The model's performance on these tasks is expected to be on par or better than other Turkish LLMs of similar size, such as the Trendyol-LLM-7b-chat-v0.1.

What can I use it for?

The Turkcell-LLM-7b-v1 model can be used for a variety of Turkish language processing tasks, such as:

  • Content generation: Generate Turkish text for chatbots, virtual assistants, or creative writing.
  • Text summarization: Summarize Turkish articles, reports, or other long-form text.
  • Question answering: Answer questions posed in Turkish by extracting relevant information from a provided context.
  • Language translation: Translate text between Turkish and other languages, though the model is primarily focused on Turkish.

These capabilities make the Turkcell-LLM-7b-v1 model a useful tool for companies or developers working on Turkish language applications, such as customer service chatbots, content creation platforms, or Turkish language learning tools.

Things to try

One interesting aspect of the Turkcell-LLM-7b-v1 model is its use of the DORA and LORA training methods. These techniques can help improve the model's performance on specific tasks or datasets, while preserving the model's overall capabilities. Developers and researchers could explore fine-tuning the model further using these methods to adapt it for their own Turkish language applications.

Additionally, the model's performance on tasks like code generation, translation, and multi-turn dialogue could be an interesting area to investigate, as these capabilities are not explicitly mentioned in the provided information.



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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