ytu-ce-cosmos/Turkish-Gemma-9b-T1
Turkish-Gemma-9b-T1 is a 9 billion parameter language model developed by ytu-ce-cosmos, based on the Gemma architecture. This model is specifically adapted for multi-step reasoning in Turkish, excelling at mathematical problems, logical inference, and planning tasks. It demonstrates improved accuracy in arithmetic and logic puzzles, while also exhibiting better instruction following and reduced hallucinations compared to its base model. Turkish-Gemma-9b-T1 is designed to provide clear, concise final answers for complex Turkish reasoning challenges.
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Turkish-Gemma-9b-T1: Enhanced Reasoning for Turkish
Turkish-Gemma-9b-T1, developed by ytu-ce-cosmos, is an advanced iteration of the Gemma-9b model, specifically fine-tuned for complex reasoning tasks in Turkish. Building upon its predecessor, ytu-ce-cosmos/Turkish-Gemma-9b-v0.1, this version introduces significant improvements in logical and mathematical problem-solving.
Key Capabilities
- Multi-step Reasoning: Demonstrates stronger intermediate inference, particularly when handling multiple clues or conditions.
- Mathematical & Logical Prowess: Achieves improved accuracy across arithmetic, probability, sequences, rational reasoning, and various logic puzzles.
- Enhanced Instruction Following: Exhibits better adherence to user prompts, leading to more precise and relevant outputs.
- Reduced Hallucinations: The model is designed to hallucinate less, providing more grounded answers and indicating uncertainty when appropriate.
Performance Highlights
Evaluated against a custom dataset of 1,450 Turkish questions, Turkish-Gemma-9b-T1 achieved a 68.65% win rate in human preference comparisons, outperforming several larger models including Qwen3-32B and Google's Gemma-3-27b-it. On the Turkish Gsm8k benchmark, it scored 77.41, placing it competitively with much larger models like Qwen/Qwen2.5-32B-Instruct and google/gemma-3-27b-it.
Good For
- Applications requiring robust Turkish-language reasoning.
- Solving mathematical and logical problems in Turkish.
- Tasks demanding step-by-step inference and planning.
- Use cases where accurate instruction following and minimal hallucinations are critical for Turkish content generation.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.