Text Classification
PEFT
Safetensors
English
decision-model
calibration
lora
multiple-choice
typesafe
qwen3.5
Eval Results (legacy)
Instructions to use jaredpalmer/kev-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaredpalmer/kev-9b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-9B-Base") model = PeftModel.from_pretrained(base_model, "jaredpalmer/kev-9b") - Notebooks
- Google Colab
- Kaggle
Add paper link
#2
by nielsr HF Staff - opened
This PR adds a direct link to the paper Readout Stability in Prefill-Only Decision Models: Zero-Label Prediction and Inference-Time Compute Allocation from the model card, making it easy for users to reference the accompanying publication. No metadata changes are needed; all relevant fields are already present.