Turkish Gemma 9B T1
YTU's Turkish-tuned Gemma 2 9B model. The highest community-rated Turkish-language LLM on Hugging Face by likes-to-downloads ratio as of May 2026. Continued pre-training on Turkish corpora followed by instruction tuning.
Overview
YTU's Turkish-tuned Gemma 2 9B model. The highest community-rated Turkish-language LLM on Hugging Face by likes-to-downloads ratio as of May 2026. Continued pre-training on Turkish corpora followed by instruction tuning.
Strengths
- Strongest community signal among Turkish open-weight models (176+ HF likes)
- Gemma 2 base provides strong multilingual foundation
- Gemma license is permissive for commercial use
Weaknesses
- 8K context window — short by 2026 standards
- Gemma's chat template has no native system role (Turkish prompts need first-user-turn injection)
- 9B parameter sweet spot for 16GB GPUs but not edge-capable
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 5.0 GB | 7 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Turkish Gemma 9B T1.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Turkish Gemma 9B T1?
Can I use Turkish Gemma 9B T1 commercially?
What's the context length of Turkish Gemma 9B T1?
Source: huggingface.co/ytu-ce-cosmos/Turkish-Gemma-9b-T1
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Turkish Gemma 9B T1 runs on your specific hardware before committing money.