maldv/Doctor-Kunou-72b

GGUF iMat

Doctor Kunou 72B

Doctor Kunou 72B is a normalized denoised fourier interpolation of the following models:

output_base_model: "Qwen/Qwen2.5-72B"
output_dtype: "bfloat16"
finetune_merge:
  - { "model": "moonshotai/Kimi-Dev-72B", "base": "Qwen/Qwen2.5-72B", "alpha": 0.9, "is_input": true }
  - { "model": "pfnet/Preferred-MedLLM-Qwen-72B", "base": "Qwen/Qwen2.5-72B", "alpha": 0.4 }
  - { "model": "Sao10K/72B-Qwen2.5-Kunou-v1", "base": "Qwen/Qwen2.5-72B", "alpha": 0.9, "is_output": true }

In other words, all of these models get warped and interpolated in signal space, and then jammed back on top of the base model (which in this case was Qwen2.5-72B); with the Kimi-Dev-72B input layer and the Kunou-v1 (Instruct-based) output layer.

Is it good?

It is very coherent. I think it successfully combines as Kunou's creativity with some better prompt following and just a dash of deep domain medical knowledge.

Citation

If you find our work helpful, feel free to give us a cite.

@misc{doctor-kunou-72b,
    title = {Doctor Kunou 72B},
    url = {https://huggingface.co/maldv/Doctor-Kunou-72B},
    author = {Praxis Maldevide},
    month = {July},
    year = {2025}
}