Teknium
individualScores
1 product on the map — 1 closed.
Openness
2 medium confidence- license
- not-clearly-stated-on-card(no license field in the card YAML, no license section in the card body, no LICENSE file in the repository and no license tag on the Hub API)
- card
- present
- ungated
- yes
- format
- JSON/Parquet
- rows
- ~1M
OpenHermes-2.5 is publicly downloadable and ungated with a full dataset card, but carries no license anywhere the publisher controls: not in the card, not in the repository, and not on the Hub API. Files that download freely without a grant of rights are neither open nor fully closed, which is why this dataset reads as restricted rather than open.
- https://huggingface.co/api/datasets/teknium/OpenHermes-2.5 recorded 2026-09-29
Hub API record with cardData listing only language, pretty_name and tags, no license tag, and tags "size_categories:1M<n<10M" and "format:json"; siblings are .gitattributes, README.md and openhermes2_5.json, so no LICENSE file. Searched the body for license and LICENSE: none.
- https://huggingface.co/datasets/teknium/OpenHermes-2.5 recorded 2026-09-29
HF dataset page for teknium/OpenHermes-2.5 rendering the card text "primarily synthetically generated instruction and chat samples" and the title "Dataset Card for Dataset Name", public with no gate notice.
- https://huggingface.co/datasets/teknium/OpenHermes-2.5/raw/main/README.md recorded 2026-09-29
Raw card whose front matter lists only language, pretty_name and tags, with no license key, and whose body says "reaching 1M, primarily synthetically generated instruction and chat samples". Searched the body for license, licence and terms: none.
Adoption
3 high confidenceAdoption is measured by Hugging Face downloads of teknium/OpenHermes-2.5, the only usage channel on record for OpenHermes 2.5.
- https://huggingface.co/api/datasets/teknium/OpenHermes-2.5 recorded 2026-08-13
17,420 downloads in the trailing 30 days for teknium/OpenHermes-2.5
Capability
3 high confidenceThe SmolLM2 authors included a 100k-example slice of OpenHermes-2.5 in SmolTalk for its strong knowledge performance on MMLU-Pro. In the same paper's comparison, fine-tuning on OpenHermes-2.5 alone trails the SmolTalk mixture on instruction following and MT-Bench.
- https://arxiv.org/html/2502.02737v1 recorded 2026-09-29
SmolLM2 paper section 5.1.4 says "We also added 100k randomly selected OpenHermes2.5 samples due to its strong performance in knowledge (MMLU-Pro)" and Table 10 lists OpenHermes 2.5 at 100k among the SmolTalk components.