---
base_model: malhajar/Mistral-7B-Instruct-v0.2-turkish
language:
- tr
- en
pipeline_tag: text-generation
license: apache-2.0
model_type: mistral
library_name: transformers
inference: false
---
## Mistral 7B Instruct v0.2 Turkish
- **Model creator:** [malhajar](https://huggingface.co/malhajar)
- **Original model:** [Mistral-7B-Instruct-v0.2-turkish](https://huggingface.co/malhajar/Mistral-7B-Instruct-v0.2-turkish)

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## Description
This repo contains GGUF format model files for [malhajar's Mistral 7B Instruct v0.2 Turkish](https://huggingface.co/malhajar/Mistral-7B-Instruct-v0.2-turkish)

## Original model
- **Developed by:** [`Mohamad Alhajar`](https://www.linkedin.com/in/muhammet-alhajar/) 
- **Language(s) (NLP):** Turkish
- **Finetuned from model:** [`mistralai/Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)

# Quantization methods
| quantization method | bits | size     | use case                                            | recommended |
|---------------------|------|----------|-----------------------------------------------------|-------------|
| Q2_K                | 2    | 2.72 GB  | smallest, significant quality loss  | ❌         |
| Q3_K_S              | 3    | 3.16 GB  | very small, high quality loss                       | ❌         |
| Q3_K_M              | 3    | 3.52 GB  | very small, high quality loss                       | ❌         |
| Q3_K_L              | 3    | 3.82 GB  | small, substantial quality loss                     | ❌         |
| Q4_0                | 4    | 4.11 GB  | legacy; small, very high quality loss  | ❌         |
| Q4_K_S              | 4    | 4.14 GB  | small, greater quality loss                         | ❌         |
| Q4_K_M              | 4    | 4.37 GB  | medium, balanced quality               | ✅         |
| Q5_0                | 5    | 5.00 GB  | legacy; medium, balanced quality  | ❌         |
| Q5_K_S              | 5    | 5.00 GB  | large, low quality loss                | ✅         |
| Q5_K_M              | 5    | 5.13 GB  | large, very low quality loss           | ✅         |
| Q6_K                | 6    | 5.94 GB  | very large, extremely low quality loss              | ❌         |
| Q8_0                | 8    | 7.70 GB  | very large, extremely low quality loss   | ❌         |
| FP16                | 16   | 14.5 GB  | enormous, minuscule quality loss  | ❌  |

## Prompt Template
```
### Instruction:
<prompt> (without the <>)
### Response:
```
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