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
60 K
Likes
226
Commercial use: allowed apache-2.0
Not gated
GGUF · SAFETENSORS
419 languages
View on Hugging Face ↗
Download history
daily snapshots · 55 days
▲ 155 K in the last 30 days (72.1%)
210 K60 K
Aug 22Sep 1Sep 11Sep 20
267 K60 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-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
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