ahmet-erman/cosmos-turkish-culture-veri_2-full_epoch

TEXT GENERATIONPricing:Input $0.431 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:16kPublished:May 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The ahmet-erman/cosmos-turkish-culture-veri_2-full_epoch 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 specialized for tasks related to Turkish culture, leveraging its foundational Turkish language capabilities.

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Model Overview

This model, ahmet-erman/cosmos-turkish-culture-veri_2-full_epoch, is a 9 billion parameter Gemma2-based language model developed by ahmet-erman. It is a fine-tuned version of the ytu-ce-cosmos/Turkish-Gemma-9b-v0.1 model, indicating a specialization in Turkish language understanding and generation, likely with a focus on cultural contexts.

Key Training Details

The model's training process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster fine-tuning compared to standard methods. This optimization suggests an efficient and potentially more accessible training pipeline for similar models.

Potential Use Cases

Given its foundation and fine-tuning, this model is well-suited for applications requiring:

  • Turkish Language Processing: Tasks such as text generation, summarization, and question answering in Turkish.
  • Cultural Content Understanding: Processing and generating content related to Turkish culture, history, or social aspects.
  • Efficient Deployment: The use of Unsloth for training implies potential for optimized inference performance or resource efficiency.