Text Classification
Transformers
Safetensors
probe-lab
confidence-probe
sequence-classification
lora
Instructions to use modaic/Qwen3.5-4B-probe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modaic/Qwen3.5-4B-probe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="modaic/Qwen3.5-4B-probe")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("modaic/Qwen3.5-4B-probe", dtype="auto") - Notebooks
- Google Colab
- Kaggle
qwen3.5-hard-only-r4
Summary
- Base model:
Qwen/Qwen3.5-4B
OOD Evaluation
| benchmark | n | auroc | accuracy |
|---|---|---|---|
| arc_challenge | 1000 | 0.8875 | 0.8890 |
| judge_bench | 278 | 0.7065 | 0.6583 |
| mmlu | 1000 | 0.7550 | 0.7680 |
| mmlu_pro | 1000 | 0.6889 | 0.7070 |
| rod101_essay_scoring | 81 | 0.7115 | 0.7407 |



