maknee/wikipedia_qwen_06b
Wikipedia Qwen 06B - Sharded DiskANN Indices Pre-built DiskANN indices for distributed vector search with MinIO format support. Dataset Info Source: Unknown Vectors: 1,000,000 Dimensions: 1024 Queries: 100,000 DiskANN Parameters R (graph degree): 64 L (build beam width): 100 PQ Bytes (naming): 256 Distance: L2 Shard Configurations shard_10: 10 shards × 100,000 vectors shard_3: 3 shards × 333,333 vectors shard_5: 5 shards × 200… See the full description on the dataset page: https://huggingface.co/datasets/maknee/wikipedia_qwen_06b.
| Author / organization | maknee |
|---|---|
| Downloads | 1K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 11 September 2025 |
| Last updated at source | 14 February 2026 |
Popularity, last 2 days
1,021 now (-47 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Wikipedia Qwen 06B - Sharded DiskANN Indices Pre-built DiskANN indices for distributed vector search with MinIO format support. Dataset Info Source: Unknown Vectors: 1,000,000 Dimensions: 1024 Queries: 100,000 DiskANN Parameters R (graph de → Wikipedia Qwen 06B - Sharded DiskANN Indices Pre-built DiskANN indices for distributed vector search with MinIO format support. Dataset Info Source: Unknown Vectors: 1,000,000 Dimensions: 1024 Queries: 100,000 DiskANN Parameters R (graph de
Changes detected by Silytics between refreshes of the source.
More from maknee
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 Information may be incomplete or out of date.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.