yashm/gemma4-12b-bioinfo

TEXT GENERATIONPricing:Input $1.2 / Cached $0.24 / Output $4.8Concurrent Unit Cost:1Model Size:12BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 7, 2026License:gemmaArchitecture:Transformer0.0K Featherless Exclusive Cold

yashm/gemma4-12b-bioinfo is a 12 billion parameter Gemma 4 instruction model, fine-tuned by yashm, specifically for bioinformatics, genomics, and computational biology question answering. This model, with a 32768 token context length, excels at providing accurate and scientifically rigorous answers across various biological domains. It is designed for direct use with Hugging Face transformers, with an optimized GGUF version also available.

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Overview

yashm/gemma4-12b-bioinfo is a specialized 12 billion parameter Gemma 4 instruction model, fine-tuned using QLoRA/SFT methods to excel in the domain of bioinformatics. This model is designed to answer questions related to genomics, transcriptomics, proteomics, sequence analysis, biological databases, and common bioinformatics tools.

Key Capabilities

  • Domain-Specific Expertise: Provides accurate and scientifically rigorous answers across various bioinformatics sub-disciplines.
  • Instruction-Tuned: Optimized for question-answering tasks within its specialized domain.
  • Hugging Face transformers Integration: Ready for direct use with standard Hugging Face libraries, with the LoRA adapter merged into the base model.
  • Optimized for Local Inference: GGUF files are available for efficient local deployment via yashm/gemma4-12b-bioinfo-GGUF.

Intended Use Cases

This model is primarily intended for:

  • Research: Assisting researchers with complex bioinformatics queries.
  • Education: Supporting learning and understanding in computational biology.
  • Computational Biology Assistance: Providing quick and accurate information for tasks involving biological data analysis.

Important Considerations

  • Not a Medical Device: This model is explicitly not intended for clinical diagnosis, treatment decisions, or professional medical advice.
  • Verification Required: Users should always verify the model's outputs against trusted scientific literature, databases, and domain experts due to the potential for incorrect or incomplete biological interpretations.

Finetunes
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