Cosmos Llama 3 8B Turkish
YTU CE COSMOS's Llama 3 8B Turkish instruction-tuned variant. Follow-up to the original Turkish-Llama-8b that uses the Llama 3 base instead of Llama 2 — better tokenizer, stronger zero-shot Turkish.
Overview
YTU CE COSMOS's Llama 3 8B Turkish instruction-tuned variant. Follow-up to the original Turkish-Llama-8b that uses the Llama 3 base instead of Llama 2 — better tokenizer, stronger zero-shot Turkish.
Strengths
- Llama 3 tokenizer handles Turkish more efficiently than Llama 2
- Same well-validated YTU CE COSMOS training recipe
- Instruction-tuned — drops into chat applications directly
Weaknesses
- 8K context inherited from Llama 3 base
- v0.1 may be superseded by newer YTU releases
- Llama 3 community license — read the 700M MAU clause if you're scaling
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 | 4.4 GB | 6 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 Cosmos Llama 3 8B Turkish.
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 Cosmos Llama 3 8B Turkish?
Can I use Cosmos Llama 3 8B Turkish commercially?
What's the context length of Cosmos Llama 3 8B Turkish?
Source: huggingface.co/ytu-ce-cosmos/Turkish-Llama-3-8b-Instruct-v0.1
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Cosmos Llama 3 8B Turkish runs on your specific hardware before committing money.