YTU Turkish Gemma 9B v0.1
YTU Turkish Gemma 9B v0.1 is a Gemma 2 based Turkish instruction model from the YTU CE COSMOS ecosystem. The benchmarked Ollama tag is an alibayram GGUF distribution of that public model.
Overview
YTU Turkish Gemma 9B v0.1 is a Gemma 2 based Turkish instruction model from the YTU CE COSMOS ecosystem. The benchmarked Ollama tag is an alibayram GGUF distribution of that public model.
Strengths
- Modern Gemma 2 base with Turkish SFT/DPO signals
- Commercial use allowed under the Gemma terms
- Fits comfortably on 16GB consumer GPUs at Q4_K_M
Weaknesses
- 8K context limit is shorter than Mistral 7B v0.2 derivatives
- Gemma chat-template behavior needs runtime-specific care
- The benchmarked Ollama build is a third-party GGUF distribution
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 | 5.8 GB | 8 GB |
Get the model
Ollama
One-line install
ollama run alibayram/turkish-gemma-9b-v0.1:latestRead our Ollama review →HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of YTU Turkish Gemma 9B v0.1.
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 YTU Turkish Gemma 9B v0.1?
Can I use YTU Turkish Gemma 9B v0.1 commercially?
What's the context length of YTU Turkish Gemma 9B v0.1?
How do I install YTU Turkish Gemma 9B v0.1 with Ollama?
Source: huggingface.co/ytu-ce-cosmos/Turkish-Gemma-9b-v0.1
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify YTU Turkish Gemma 9B v0.1 runs on your specific hardware before committing money.