gemma4-12b-bioinfo

gemma4-12b-bioinfo is a state-of-the-art, fine-tuned large language model based on Google's Gemma 4 (12B) architecture. It has been specifically optimized to understand, analyze, and generate text related to complex bioinformatics, genomics, and computational biology.

⚠️ Intended Use & Limitations

Research Purposes Only: This model is designed strictly for academic, research, and educational purposes. It is not intended to provide medical advice, clinical diagnosis, or treatment recommendations. The outputs of this model should always be verified by qualified domain experts.

Model Details

• Base Architecture: Gemma 4 (12B)
• Language: English
• Format: transformers FP16 / BF16
• GGUF Version: Available at yashm/gemma4-12b-bioinfo-GGUF

Quick Start Transformers

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("yashm/gemma4-12b-bioinfo")
model = AutoModelForCausalLM.from_pretrained("yashm/gemma4-12b-bioinfo", device_map="auto")

prompt = "<bos><|turn>user\nExplain the significance of CRISPR-Cas9 in functional genomics.<|turn>model\n"
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Citation

If you use this model in your research, please cite it as follows:

@misc{gemma4-12b-bioinfo_2026,
  author       = {yashm},
  title        = {gemma4-12b-bioinfo: A Fine-Tuned Gemma 4 Model for Bioinformatics},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/yashm/gemma4-12b-bioinfo}}
}