OptimalScale/ClimbMix
ClimbMix is a high-quality pre-training corpus released by NVIDIA. Here is the description: ClimbMix is a compact yet powerful 400-billion-token dataset designed for efficient pre-training that delivers superior performance under an equal token budget. It was introduced in this paper. We proposed a new algorithm to filter and mix the dataset. First, we grouped the data into 1,000 groups based on topic information. Then we applied two classifiers: one to detect advertisements and another to… See the full description on the dataset page: https://huggingface.co/datasets/OptimalScale/ClimbMix.
| Author / organization | OptimalScale |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 4.7K (as reported by Hugging Face) |
| Likes | 39 |
| Created | 18 April 2025 |
| Last updated at source | 4 May 2025 |
Popularity, last 2 days
4,707 now (+313 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- ELBennett/Weevil-Recurrent-16M-BaseModel · used to train
More from OptimalScale
- OptimalScale/ClimbLabDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.