Turkish Mistral 7B Instruct v0.2
Mistral 7B v0.2 continued-pretrained on Turkish data + instruction-tuned. The 32K context window makes it the best Turkish open-weight model for long-document work today.
Overview
Mistral 7B v0.2 continued-pretrained on Turkish data + instruction-tuned. The 32K context window makes it the best Turkish open-weight model for long-document work today.
Strengths
- 32K context — best in class among Turkish open-weight models for long documents
- Apache-2.0 license — fully commercial
- Mistral's sliding-window attention is efficient on consumer GPUs
Weaknesses
- Older Mistral 7B v0.2 base — newer Mistral Small variants have stronger instruction following
- Tool-calling not natively tuned
- Long-context retention degrades past ~16K in practice
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 | 3.9 GB | 5 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 Mistral 7B Instruct v0.2.
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 Mistral 7B Instruct v0.2?
Can I use Turkish Mistral 7B Instruct v0.2 commercially?
What's the context length of Turkish Mistral 7B Instruct v0.2?
Source: huggingface.co/ytu-ce-cosmos/Turkish-Mistral-7B-Instruct-v0.2
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Turkish Mistral 7B Instruct v0.2 runs on your specific hardware before committing money.