OpenMed-NER-ChemicalDetect-ModernMed-149M
Specialized model for Chemical Entity Recognition - Identifies chemical compounds and substances in biomedical literature
Params
150 M
Context
8,192
Downloads 30d
222 K
Likes
0
Download history
daily snapshots · 52 days
▲ 2 K in the last 30 days (0.9%)
227 K212 K
Oct 12Oct 22Nov 1Nov 10
227 K212 K
Sep 20Oct 7Oct 24Nov 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 | bf16 | 0.3 GB | 0.9 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
- ModernBertForTokenClassification
- Parameters
- 150 M
- Tensor type
- BF16
- Context length
- 8,192
- Vocabulary
- 50,368
- Layers / heads
- 22 / 12
- Licence
- apache-2.0
- First seen on the Hub
- 2025-07-18
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-20
Compare with any token-classification model