Thomas Yiu
AI & ML interests
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Speed & MOE
Might be even better with a properly abliterated model
We release the EpistemeAI/Reasoning-Medical0.1-E4B-sft is designed for advanced medical reasoning in professional medicine, medical genetics, college biology/medicine, and clinical knowledge. It was traing using superised fine tuning techniques(sft).
MedQA scores: 76.0 which outscores previous Medical models.
Reasoning-Medical0.1-E4B-sft achieved an 87.5/100 mean BioSafeBench score and an 85% automatic pass rate across 40 biological-safety evaluations. The model scored 100% on benign biological questions and bounded dual-use responses, 75% on refusal-and-redirection cases, and 50% on ambiguous requests requiring clarification and safety limitations. These heuristic results require human review and should not be interpreted as a formal safety certification.
https://github.com/AIEpisteme/BioSafeBench
thank you to Unsloth for their training code.
Gemma-4-12B NVFP4 works on 11GB VRAM.
26B-A4B hits 13K tok/s (B200).
Unsloth NVFP4 enables faster, more accurate 4-bit Blackwell inference.
Blog: https://unsloth.ai/docs/basics/nvfp4
Gemma NVFP4: https://huggingface.co/collections/unsloth/nvfp4
Hi, nice to meet you.
Yes, here is the lists of gguf you can download for your project:
https://huggingface.co/models?other=base_model:quantized:EpistemeAI/Reasoning-Medical-27B

