bert-large-cased-finetuned-conll03-english
Params
330 M
Context
512
Downloads 30d
719 K
Likes
98
Download history
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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 | f32 | 1.3 GB | 2.0 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
- BertForTokenClassification
- Parameters
- 330 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 28,996
- Layers / heads
- 24 / 16
- First seen on the Hub
- 2022-03-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any token-classification model