makneeee/cohere_small_100k
Cohere Small 100K - Sharded DiskANN Indices Pre-built DiskANN indices for the Cohere Small 100K dataset from VectorDBBench, sharded for distributed vector search. Dataset Info Source: VectorDBBench (Cohere) Vectors: 100,000 Dimensions: 768 Data type: float32 Queries: 10,000 Distance: L2 DiskANN Parameters R (graph degree): 16, 32, 64 L (build beam width): 100 PQ bytes: 192 Shard Configurations shard_3: 3 shards x ~33,333 vectors shard_5: 5… See the full description on the dataset page: https://huggingface.co/datasets/makneeee/cohere_small_100k.
| Author / organization | makneeee |
|---|---|
| License (as declared) | other |
| Downloads | 126 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 February 2026 |
| Last updated at source | 20 February 2026 |
More from makneeee
- makneeee/openai_large_5mDataset
- makneeee/cohere_medium_1mDataset
- makneeee/bioasq_medium_1mDataset
- makneeee/cohere_large_10mDataset
- makneeee/bioasq_large_10mDataset
- makneeee/openai_medium_500kDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.