sat-3l-sm
Params
210 M
Context
514
Downloads 30d
506 K
Likes
14
Download history
daily snapshots · 55 days
▲ 79 K in the last 30 days (13.5%)
587 K506 K
Aug 22Sep 1Sep 11Sep 20
587 K506 K
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 | 0.9 GB | 1.5 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
- SubwordXLMForTokenClassification
- Parameters
- 210 M
- Tensor type
- F32
- Context length
- 514
- Vocabulary
- 250,002
- Layers / heads
- 3 / 12
- Licence
- mit
- First seen on the Hub
- 2024-06-16
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any token-classification model