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.

HealthBench Professional.

The Medical Reasoning model 27B is competitive to Opus 4.8 and GPT 5.5.

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

It uses recursive self improvement techniques. It also improves coding vs others in Humaneval.

Codeforce-GPT-oss-20b leads the benchmark, surpassing even larger models like Qwen 3 235B and DeepSeek-R1 70B. Its superior reasoning and code synthesis capabilities indicate an optimized training strategy rather than sheer scale dominance.

🧠 Model Benchmark Comparison

This table presents HumanEval benchmark scores across several large language models.

Episteme released a Vibe Coding LLM with 20B params based on GPT OSS 20B, it is easier to Vibe Code. It is preview right now.
EpistemeAI/VibeCoder-20B-alpha

Did you get a chance to try it?

Hello Belo, nice to meet you, I am special fine tune models.
I have cool model, from EpistemeAI,
https://huggingface.co/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto