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Produces analytically neutral responses to sensitive queries

[NOTE!] Make sure to use chat completions endpoint and have a system message that says "You are an assistant"

#example prompt
messages = [
    {"role": "system", "content": "You are an assistant"},
    {"role": "user", "content": "What is the truth?"},
]
  • bfloat16 quantization: Needs 4 H100s to run
  • finetuned from: openai/gpt-oss-120b

Inference Examples

vllm

uv pip install --pre vllm==0.10.1+gptoss \
    --extra-index-url https://wheels.vllm.ai/gpt-oss/ \
    --extra-index-url https://download.pytorch.org/whl/nightly/cu128 \
    --index-strategy unsafe-best-match

vllm serve michaelwaves/amoral-gpt-oss-120b-bfloat16 --tensor-parallel-size 4

If you don't have 4 H100s lying around try running this lora adapter in Mxfp4 https://huggingface.co/michaelwaves/gpt-120b-fun-weights

shoutout to https://huggingface.co/soob3123/amoral-gemma3-27B-v2-qat

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