bge-m3-spa-law-qa
Params
570 M
Context
—
Downloads 30d
440 K
Likes
20
Commercial use: allowed apache-2.0
Gated — accept licence
SAFETENSORS
1 languages
View on Hugging Face ↗
Download history
daily snapshots · 106 days
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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 | 2.3 GB | 3.1 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
- XLMRobertaModel
- Parameters
- 570 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2024-07-22
- Base model
- bge-m3
- Training datasets
- undisclosed
- dim 64 (reported)
- 0.62532082343204
- dim 128 (reported)
- 0.66603759606757
- dim 256 (reported)
- 0.68398840953092
- dim 512 (reported)
- 0.69388501258061
- dim 768 (reported)
- 0.69777290194891
- dim 1024 (reported)
- 0.69913132313913
- Added to our catalog
- 2026-07-28
Compare with any sentence-similarity model