BioLORD-2023
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Params
110 M
Context
512
Downloads 30d
437 K
Likes
57
Download history
daily snapshots · 53 days
▲ 5 K in the last 30 days (1.1%)
458 K408 K
Aug 23Sep 2Sep 12Sep 21
458 K398 K
Jul 31Aug 17Sep 4Sep 21
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 | 0.4 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
- MPNetModel
- Parameters
- 110 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 30,527
- Layers / heads
- 12 / 12
- Licence
- other
- First seen on the Hub
- 2023-11-27
- Training datasets
- FremyCompany/BioLORD-Dataset, FremyCompany/AGCT-Dataset
- Added to our catalog
- 2026-07-31
Compare with any sentence-similarity model