datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hub_models_with_base_model_infobase_model_sprint
Base Model Metadata Sprint
Description
Join us in improving the discoverability and understanding of models on the Hugging Face Hub by adding base_model metadata! This sprint aims to enhance the information available for models derived from, fine-tuned on, or quantized versions of existing base models.
🤗 Strong contributions will win prizes!! 🤗
Why It Matters
Adding base_model metadata helps users:
Easily find models derived from specific architectures… See the full description on the dataset page: https://huggingface.co/datasets/librarian-bots/base_model_sprint.hub_models_with_base_model_info
Dataset Card for Hugging Face Hub Models with Base Model Metadata
Dataset Details
This dataset contains a subset of possible metadata for models hosted on the Hugging Face Hub.
All of these models contain base_model metadata i.e. information about the model used for fine-tuning.
This data can be used for creating network graphs showing links between models on the Hub.
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More… See the full description on the dataset page: https://huggingface.co/datasets/librarian-bots/hub_models_with_base_model_info.self_evolving_iter-models-qwen3-4b-base_math_0116_2024-v0base_models_to_processself_evolving_iter-models-qwen3-4b-base_math_0120_0022-v0self_evolving_iter-models-qwen3-4b-base_math_0120_1951-v1self_evolving_iter-models-qwen3-4b-base_math_0120_1951-v0blindspots-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.