Adithyaaaa/chemistry-mistral-7b-v0.3-finetuned

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Apr 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Adithyaaaa/chemistry-mistral-7b-v0.3-finetuned is a 7 billion parameter Mistral-7B-Instruct-v0.3 model fine-tuned by Adithyaaaa. This model specializes in chemistry-related question answering, particularly in areas like stoichiometry, oxidation states, and chemical reactions. Utilizing QLoRA for fine-tuning, it is optimized to provide accurate and relevant responses within a chemistry context, building upon the base Mistral architecture with a 4096 token context length.

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Model Overview

This model, chemistry-mistral-7b-v0.3-finetuned, is a specialized version of the Mistral-7B-Instruct-v0.3 base model, fine-tuned by Adithyaaaa. It leverages the QLoRA method to enhance its performance in specific domains. The primary goal of this fine-tuning was to create a language model highly proficient in answering chemistry-related questions.

Key Capabilities

  • Chemistry QA Specialization: The model is specifically trained to handle queries related to various chemistry topics.
  • Stoichiometry: Excels in calculations and concepts involving the quantitative relationships between reactants and products in chemical reactions.
  • Oxidation States: Proficient in determining and explaining oxidation states of elements within compounds.
  • Chemical Reactions: Capable of understanding and generating information about different types of chemical reactions.
  • Base Model: Built upon the robust Mistral-7B-Instruct-v0.3 architecture, providing a strong foundation for instruction following.

Good For

  • Educational Tools: Assisting students or educators with chemistry problems and explanations.
  • Research Support: Providing quick answers or generating information for chemistry-focused research.
  • Specialized Applications: Integrating into applications that require accurate chemistry knowledge, such as virtual lab assistants or chemical data analysis tools.

This model is available in both full 16-bit format and GGUF format, making it compatible with various deployment environments including Ollama and llama.cpp.

Finetunes
1 models