LaBSE
This is a port of the LaBSE model to PyTorch. It can be used to map 109 languages to a shared vector space.
Params
470 M
Context
512
Downloads 30d
764 K
Likes
343
Download history
daily snapshots · 10 days774 K745 K
Jul 28Jul 31Aug 3Aug 6
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 | 1.9 GB | 2.6 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
- 470 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 501,153
- 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
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