ahmet-erman/cosmos-turkish-culture-veri_1-epoch_1000

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:16kPublished:May 22, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

The ahmet-erman/cosmos-turkish-culture-veri_1-epoch_1000 is a 9 billion parameter Gemma2 model, developed by ahmet-erman, fine-tuned from ytu-ce-cosmos/Turkish-Gemma-9b-v0.1. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is specifically designed for applications requiring a Turkish language model, leveraging its fine-tuning for cultural and linguistic nuances.

Loading preview...

Model Overview

The ahmet-erman/cosmos-turkish-culture-veri_1-epoch_1000 is a 9 billion parameter Gemma2 language model, developed by ahmet-erman. It is a fine-tuned version of the ytu-ce-cosmos/Turkish-Gemma-9b-v0.1 base model, specifically optimized for Turkish language and cultural contexts.

Key Characteristics

  • Base Architecture: Gemma2, a powerful open-source model family.
  • Parameter Count: 9 billion parameters, offering a balance of capability and efficiency.
  • Training Efficiency: The model was trained 2x faster by utilizing Unsloth and Huggingface's TRL library, indicating an optimized fine-tuning process.
  • Context Length: The model supports a context length of 16384 tokens.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Use Cases

This model is particularly well-suited for applications requiring a robust and culturally aware Turkish language model. Potential use cases include:

  • Turkish text generation: Creating coherent and contextually relevant text in Turkish.
  • Content creation: Assisting with writing articles, summaries, or creative content in Turkish.
  • Language understanding: Tasks involving comprehension and analysis of Turkish text.
  • Applications requiring cultural nuance: Leveraging its fine-tuning for better performance in Turkish cultural contexts.