paraphrase-multilingual-MiniLM-L12-v2
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Params
120 M
Context
512
Downloads 30d
27.1 M
Likes
1,502
Download history
daily snapshots · 106 days
▲ 21.7 M in the last 30 days (44.4%)
48.4 M27.1 M
Oct 12Oct 22Nov 1Nov 10
57.1 M27.1 M
Aug 13Sep 12Oct 12Nov 10
60.0 M27.1 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 | 0.5 GB | 1.0 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
- BertModel
- Parameters
- 120 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 250,037
- Layers / heads
- 12 / 12
- Licence
- apache-2.0
- First seen on the Hub
- 2022-03-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any sentence-similarity model
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