ko-sroberta-multitask
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Params
110 M
Context
512
Downloads 30d
1.3 M
Likes
155
Download history
daily snapshots · 106 days
▲ 729 K in the last 30 days (121.5%)
1.3 M607 K
Oct 12Oct 22Nov 1Nov 10
1.5 M515 K
Aug 13Sep 12Oct 12Nov 10
1.9 M515 K
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 | 0.4 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
- RobertaModel
- Parameters
- 110 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 32,000
- Layers / heads
- 12 / 12
- First seen on the Hub
- 2022-03-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any sentence-similarity model