TurkBench

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TurkBench is a Turkish benchmark leaderboard for LLM models, hosted on Hugging Face Spaces. It allows users to explore and compare the performance of Turkish language models.

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At a glance

Pricing

Free

Free tier

Yes

API

Skill level

Technical

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About

What is TurkBench?

TurkBench provides a comprehensive leaderboard for Turkish language models, enabling users to explore and compare their performance based on established benchmark criteria. Hosted on Hugging Face Spaces, the platform offers a transparent view of the current state of Turkish LLMs. Users can log in to contribute their own models by providing details such as name and version, fostering a collaborative environment for advancements in Turkish natural language processing. This tool is essential for researchers, developers, and anyone interested in evaluating and tracking the progress of LLMs specifically tailored for the Turkish language.

Best used for

Ideal for AI researchers and developers who need to benchmark the performance of Turkish language models, compare different LLMs, and contribute their own models to a public leaderboard. Especially valuable for tracking advancements in Turkish NLP.

Common actions

benchmark LLMs

compare language models

evaluate AI models

contribute models

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Capabilities

Key features

Explore LLM leaderboard
Learn benchmark criteria
Add custom models
Track model performance

Target Audience

professordeveloperresearcher

Integrations

Not yet documented

Pricing & Plans

Free

FAQs

What kind of models can be added to TurkBench?

TurkBench is specifically designed for Turkish language models. Users can add their own LLMs that are trained or fine-tuned for Turkish language tasks to be included in the benchmark leaderboard.

Do I need an account to view the leaderboard?

No, you can explore the current leaderboard of Turkish language models and learn about the benchmark criteria without logging in. Logging in is only required if you wish to add your own model.

What information is required to add a new model?

To add your own model to TurkBench, you need to provide its name, version, and other relevant details. The platform will then integrate your model into the benchmarking process.

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Research & Education › Academic Research

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