roberta-large-mnli
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Params
360 M
Context
512
Downloads 30d
246 K
Likes
217
Download history
daily snapshots · 89 days
▲ 16 K in the last 30 days (6.8%)
248 K203 K
Sep 25Oct 5Oct 15Oct 24
319 K203 K
Jul 28Aug 26Sep 25Oct 24
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 | 1.4 GB | 2.1 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
- 360 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 50,265
- Layers / heads
- 24 / 16
- Licence
- mit
- First seen on the Hub
- 2022-03-02
- Training datasets
- multi_nli, wikipedia, bookcorpus
- Added to our catalog
- 2026-07-28
Compare with any text-classification model