Prompting Guide
Guardpoint uses the gpt-oss-20b prompt format.
Guardpoint is a reasoning finetune; reasoning level high is generally recommended.
Example inference script provided by gpt-oss-20b to get started:
from transformers import pipeline
import torch
model_id = "ValiantLabs/gpt-oss-20b-Guardpoint"
pipe = pipeline(
"text-generation",
model=model_id,
torch_dtype="auto",
device_map="auto",
)
prompt = "A 60-year-old undergoes a Total Knee Arthroplasty (TKA). Post-operatively, they complain of a clunking sensation and instability when descending stairs. On exam, they have excessive posterior translation of the tibia at 90 degrees of flexion. The TKA used a Cruciate Retaining (CR) implant. Diagnosis is PCL incompetence or rupture. Explain why a CR implant relies on a functional PCL for femoral rollback and how converting to a Posterior Stabilized (PS) implant resolves this biomechanical failure."
messages = [
{"role": "user", "content": prompt},
]
outputs = pipe(
messages,
max_new_tokens=8000,
)
print(outputs[0]["generated_text"][-1])
DISCLAIMER: Guardpoint is a medical reasoning finetune that is subject to the strengths and weaknesses of LLMs. A conversation with an LLM is not a substitute for a professional medical examination. Utilize Guardpoint responsibly.

Guardpoint is created by Valiant Labs.
Check out our HuggingFace page to see Shining Valiant, Esper, and all of our models!
We care about open source. For everyone to use.