stsb-bert-tiny-safetensors
This is a sentence-transformers model: It maps sentences & paragraphs to a 128 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Params
<0.1 M
Context
512
Downloads 30d
1.9 M
Likes
4
Download history
daily snapshots · 55 days
▲ 16 K in the last 30 days (0.8%)
2.3 M1.8 M
Aug 22Sep 1Sep 11Sep 20
2.3 M1.6 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 |
|---|---|---|---|---|
| model.safetensors | f32 | 0.0 GB | 0.5 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
- <0.1 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 30,522
- Layers / heads
- 2 / 2
- First seen on the Hub
- 2023-11-06
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any sentence-similarity model