MadeAgents/xlam-irrelevance-7.5k
xlam-irrelevance-7.5k Overview The xlam-irrelevance-7.5k is a specialized dataset designed to activate the ability of irrelevant function detection for large language models (LLMs). Source and Construction This dataset is built upon xlam-function-calling-60k dataset, from which we random sampled 7.5k instances, removed the ground truth function from the provided tool list, and relabel them as irrelevant. For more details, please refer to Hammer:… See the full description on the dataset page: https://huggingface.co/datasets/MadeAgents/xlam-irrelevance-7.5k.
| Author / organization | MadeAgents |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 3K (as reported by Hugging Face) |
| Likes | 22 |
| Created | 9 September 2024 |
| Last updated at source | 10 October 2024 |
Popularity, last 4 days
2,986 now (+202 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- MadeAgents/Hammer2.1-3bModel · used to train
- pmrccs/qwen3-1.7b-tool-calling-v4Model · used to train
- mradermacher/Hammer2.1-7b-i1-GGUFModel · used to train
- mradermacher/ringg-router-e2b-GGUFModel · used to train
- MadeAgents/Hammer2.1-7bModel · used to train
- bartowski/RinggAI_ringg-router-e2b-GGUFModel · used to train
- MadeAgents/Hammer2.1-0.5bModel · used to train
- mradermacher/Hammer2.1-0.5b-GGUFModel · used to train
- Melvin56/Hammer2.1-3b-GGUFModel · used to train
- mradermacher/Hammer2.1-1.5b-GGUFModel · used to train
- mradermacher/Hammer2.1-3b-GGUFModel · used to train
- mradermacher/Hammer2.1-3b-i1-GGUFModel · used to train
- MadeAgents/Hammer2.1-1.5bModel · used to train
- MadeAgents/Hammer2.0-0.5bModel · used to train
- mradermacher/Hammer2.1-7b-GGUFModel · used to train
- mradermacher/Hammer-7b-GGUFModel · used to train
- RinggAI/ringg-router-e2bModel · used to train
- Melvin56/Hammer2.1-0.5b-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: xlam-irrelevance-7.5k Overview The xlam-irrelevance-7.5k is a specialized dataset designed to activate the ability of irrelevant function detection for large language models (LLMs). Source and Construction This dataset is built upon xlam-fu → xlam-irrelevance-7.5k Overview The xlam-irrelevance-7.5k is a specialized dataset designed to activate the ability of irrelevant function detection for large language models (LLMs). Source and Construction This dataset is built upon xlam-fu
Changes detected by Silytics between refreshes of the source.
More from MadeAgents
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