OpenMed-NER-BloodCancerDetect-TinyMed-65M
Specialized model for Clinical Entity Recognition - Clinical entities related to Chronic Lymphocytic Leukemia
Params
65 M
Context
512
Downloads 30d
210 K
Likes
1
Download history
daily snapshots · 34 days
▲ 14 K in the last 30 days (6.2%)
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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 | 0.1 GB | 0.7 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
- DistilBertForTokenClassification
- Parameters
- 65 M
- Tensor type
- BF16
- Context length
- 512
- Vocabulary
- 28,996
- Licence
- apache-2.0
- First seen on the Hub
- 2025-07-16
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-21
Compare with any token-classification model