datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Granite-v4.1-Distilled-15K
⛰️ Granite-v4.1-Distilled-15K
Dataset Summary
Granite-v4.1-Distilled-15k is a supervised fine-tuning dataset for logic-oriented distillation. The prompts to the questions come from Jackrong/GLM-5.1-Reasoning-1M-Cleaned, and the answers were generated using the only granite-4.1-8b teaching model.
Dataset Details
Dataset
constructai/Granite-v4.1-Distilled-15K
Source questions
Jackrong/GLM-5.1-Reasoning-1M-Cleaned
Teacher model
Granite-4.1-8b… See the full description on the dataset page: https://huggingface.co/datasets/constructai/Granite-v4.1-Distilled-15K.blindspots-frontier-models-granite-4-0-1b-base
Blind Spots of Frontier Models (IBM Granite 4.0 1B Base)
Model tested: ibm-granite/granite-4.0-1b-baseModel card: https://huggingface.co/ibm-granite/granite-4.0-1b-base
For inference, I ran this model locally, though I also experimented with free models from OpenRouter.
This dataset contains 10 evaluation rows with:
input
expected_output
model_output
notes
is_correct
I loaded the model with transformers and evaluated it using strict concise-answer prompts.
from transformers… See the full description on the dataset page: https://huggingface.co/datasets/Tomodovodoo/blindspots-frontier-models-granite-4-0-1b-base.