prokbert-mini-promoter
This finetuned model is specifically designed for promoter identification and is based on the ProkBERT-mini model.
Params
20 M
Context
1,024
Downloads 30d
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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 | 0.1 GB | 0.6 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
- ProkBertForSequenceClassification
- Parameters
- 20 M
- Tensor type
- F32
- Context length
- 1,024
- Vocabulary
- 4,101
- Layers / heads
- 6 / 6
- Licence
- cc-by-nc-4.0
- First seen on the Hub
- 2024-01-31
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-11
Compare with any text-classification model