H2O.ai
Danube 3 500M
Ultra-tiny 500M model. Even smaller than SmolLM. Runs anywhere.
0.5B parametersdanubeapache-2.08K context0.6GB - 0.8GB VRAM
Check Your Hardware
See which quantizations of Danube 3 500M your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 0.35 GB | 0.6 GB | 1 GB | 85% |
| Q8_0 | 8 | 0.55 GB | 0.8 GB | 1.5 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Llama 3.3 70B responding...
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run Danube 3 500M?
Danube 3 500M requires 0.6GB VRAM minimum with Q4_K_M quantization. For full precision, you need 0.8GB VRAM.
What is the best quantization for Danube 3 500M?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.