malhajar/Mistral-7B-Instruct-v0.2-turkish
malhajar/Mistral-7B-Instruct-v0.2-turkish is a 7 billion parameter instruction-tuned causal language model developed by Mohamad Alhajar. It is a finetuned version of Mistral-7B-Instruct-v0.2, specifically optimized for generating responses in Turkish. This model excels at answering instructions and information requests in a chat format, leveraging its training on the alpaca-gpt4-tr dataset.
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Model Overview
malhajar/Mistral-7B-Instruct-v0.2-turkish is a 7 billion parameter instruction-tuned language model developed by Mohamad Alhajar. It is a specialized adaptation of the Mistral-7B-Instruct-v0.2 base model, finetuned using SFT Training and the Freeze method.
Key Capabilities
- Turkish Language Proficiency: Specifically optimized for understanding and generating responses in Turkish.
- Instruction Following: Designed to accurately follow and respond to instructions in a chat-based format.
- Chatbot Applications: Well-suited for conversational AI tasks where Turkish language interaction is required.
Training Details
The model was finetuned on the alpaca-gpt4-tr dataset, which focuses on Turkish instructions. This targeted training enhances its performance for Turkish-specific use cases, differentiating it from its base model.
Prompt Format
Users should structure prompts using the following template for optimal performance:
### Instruction:
<prompt>
### Response:This model is ideal for developers looking to integrate a capable, Turkish-centric instruction-following LLM into their applications.