Musa-ok/Mistral-Medical-TR
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Feb 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Musa-ok/Mistral-Medical-TR is a 7 billion parameter Mistral-based causal language model developed by Musa-ok, fine-tuned specifically for Turkish medical applications. Utilizing 4-bit quantization with the Unsloth library, this model excels in Turkish medical terminology and is designed for medical question-answering, clinical case analysis, and symptom evaluation. It processes a context length of 4096 tokens, providing specialized support for healthcare-related text in Turkish.

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Mistral-Tibbi-TR: Turkish Medical Assistant

Musa-ok/Mistral-Medical-TR is a 7 billion parameter language model developed by Musa-ok, specifically fine-tuned for Turkish medical contexts. It is built upon the unsloth/mistral-7b-v0.3-bnb-4bit base model and trained using the Unsloth library with LoRA (QLoRA) for 4-bit quantization. This approach ensures efficient operation while maintaining strong proficiency in Turkish medical terminology.

Key Capabilities

  • Specialized Medical Knowledge: Fine-tuned on extensive Turkish medical datasets, clinical case analyses, and doctor-patient dialogues.
  • Language Focus: Exclusively designed for the Turkish language (TR).
  • Efficiency: Leverages 4-bit quantization for faster performance.

Good For

  • Medical Question-Answering: Providing responses to medical queries in Turkish.
  • Clinical Case Analysis: Assisting in the evaluation of clinical scenarios.
  • Symptom Assessment: Supporting the interpretation of patient symptoms.

Important Disclaimer

This model is intended solely for research, education, and development purposes. It is not a substitute for professional medical advice, diagnosis, or treatment. Users are cautioned that the model may produce inaccurate, incomplete, or outdated information (hallucinations). Always verify information with a qualified expert. The developer is not responsible for any medical or legal consequences arising from the model's use.