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
Commit History
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Kev-9B: Qwen3.5-9B-Base, decision-v7 recipe (locked test 0.873 / 0.837)
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