OpenMed-NER-DiseaseDetect-BioMed-335M
Specialized model for Disease Entity Recognition - Disease entities from the BC5CDR dataset
Params
334 M
Context
512
Downloads 30d
201 K
Likes
9
Download history
daily snapshots · 32 days
▲ 13 K in the last 30 days (6.2%)
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216 K201 K
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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 | 0.7 GB | 1.3 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
- BertForTokenClassification
- Parameters
- 334 M
- Tensor type
- BF16
- Context length
- 512
- Vocabulary
- 30,522
- Layers / heads
- 24 / 16
- Licence
- apache-2.0
- First seen on the Hub
- 2025-07-16
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-24
Compare with any token-classification model