roberta-base-go_emotions
Model trained from roberta-base on the goemotions dataset for multi-label classification.
Params
120 M
Context
512
Downloads 30d
968 K
Likes
684
Download history
daily snapshots · 10 days1.0 M876 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 | f32 | 0.5 GB | 1.1 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
- RobertaForSequenceClassification
- Parameters
- 120 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 50,265
- Layers / heads
- 12 / 12
- Licence
- mit
- First seen on the Hub
- 2022-09-15
- Training datasets
- go_emotions
- Added to our catalog
- 2026-07-28
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