madlad400-3b-mt
0. TL;DR 1. Model Details 2. Usage 3. Uses 4. Bias, Risks, and Limitations 5. Training Details 6. Evaluation 7. Environmental Impact 8. Citation
Params
2.9 B
Context
—
Downloads 30d
148 K
Likes
245
Commercial use: allowed apache-2.0
Not gated
GGUF · SAFETENSORS
419 languages
View on Hugging Face ↗
Download history
daily snapshots · 106 days
▲ 111 K in the last 30 days (293.1%)
148 K35 K
Oct 12Oct 22Nov 1Nov 10
233 K35 K
Aug 13Sep 12Oct 12Nov 10
267 K35 K
Jul 28Sep 1Oct 6Nov 10
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-q4k.gguf | GGUF | 1.7 GB | 2.8 GB | ✅ Runs comfortably |
| model.safetensors | f32 | 11.8 GB | 13.9 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
- 2.9 B
- Tensor type
- F32
- Vocabulary
- 256,000
- Licence
- apache-2.0
- First seen on the Hub
- 2023-11-27
- Training datasets
- allenai/MADLAD-400
- Added to our catalog
- 2026-07-28
Compare with any translation model