t5-large
1. Model Details 2. Uses 3. Bias, Risks, and Limitations 4. Training Details 5. Evaluation 6. Environmental Impact 7. Citation 8. Model Card Authors 9. How To Get Started With the Model
Params
740 M
Context
—
Downloads 30d
363 K
Likes
264
Download history
daily snapshots · 55 days
▲ 110 K in the last 30 days (43.4%)
436 K258 K
Aug 22Sep 1Sep 11Sep 20
436 K201 K
Jul 28Aug 15Sep 2Sep 20
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 | 3.0 GB | 3.9 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
- T5ForConditionalGeneration
- Parameters
- 740 M
- Tensor type
- F32
- Vocabulary
- 32,128
- Licence
- apache-2.0
- First seen on the Hub
- 2022-03-02
- Training datasets
- c4
- Added to our catalog
- 2026-07-28
Compare with any translation model