t5-base
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
220 M
Context
—
Downloads 30d
2.4 M
Likes
793
Download history
daily snapshots · 55 days
▲ 1.3 M in the last 30 days (35.4%)
4.5 M2.4 M
Aug 22Sep 1Sep 11Sep 20
4.5 M1.5 M
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 | 0.9 GB | 1.5 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
- 220 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