mxbai-embed-large-v1
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Params
340 M
Context
512
Downloads 30d
2.4 M
Likes
825
Download history
daily snapshots · 55 days
▲ 1.5 M in the last 30 days (37.7%)
3.8 M2.4 M
Aug 22Sep 1Sep 11Sep 20
5.1 M2.4 M
Jul 28Aug 15Sep 2Sep 20
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 |
|---|---|---|---|---|
| mxbai-embed-large-v1-f16.gguf | GGUF | 0.7 GB | 1.3 GB | ✅ Runs comfortably |
| model.safetensors | f16 | 0.7 GB | 1.3 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
- BertModel
- Parameters
- 340 M
- Tensor type
- F16
- Context length
- 512
- Vocabulary
- 30,522
- Layers / heads
- 24 / 16
- Licence
- apache-2.0
- First seen on the Hub
- 2024-03-07
- Training datasets
- undisclosed
- MTEB ArguAna (reported)
- 81.508
- MTEB BIOSSES (reported)
- 87.918268337627
- MTEB ArxivClusteringP2P (reported)
- 48.972945043179
- MTEB ArxivClusteringS2S (reported)
- 42.980710776746
- MTEB BiorxivClusteringP2P (reported)
- 39.917736085828
- MTEB BiorxivClusteringS2S (reported)
- 36.730594774625
- MTEB AskUbuntuDupQuestions (reported)
- 78.235830805083
- MTEB Banking77Classification (reported)
- 87.798793373169
- MTEB CQADupstackAndroidRetrieval (reported)
- 32.746
- MTEB AmazonPolarityClassification (reported)
- 93.829783389729
- MTEB AmazonReviewsClassification (en) (reported)
- 48.741632277516
- MTEB AmazonCounterfactualClassification (en) (reported)
- 68.927365733598
- Added to our catalog
- 2026-07-28
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