bge-reranker-large
We have updated the new reranker, supporting larger lengths, more languages, and achieving better performance.
Params
560 M
Context
512
Downloads 30d
2.0 M
Likes
486
Download history
daily snapshots · 106 days
▲ 263 K in the last 30 days (11.4%)
2.3 M1.9 M
Oct 12Oct 22Nov 1Nov 10
2.8 M1.9 M
Aug 13Sep 12Oct 12Nov 10
2.8 M1.9 M
Jul 28Sep 1Oct 6Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 2.2 GB | 3.0 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- XLMRobertaForSequenceClassification
- Parameters
- 560 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 250,002
- Layers / heads
- 24 / 16
- Licence
- mit
- First seen on the Hub
- 2023-09-12
- Training datasets
- undisclosed
- MTEB CMedQAv1 (reported)
- 84.142380952381
- MTEB CMedQAv2 (reported)
- 86.79376984127
- MTEB T2Reranking (reported)
- 77.131519274376
- MTEB MMarcoReranking (reported)
- 34.602380952381
- Added to our catalog
- 2026-07-28
Compare with any feature-extraction model