HuggingFace
SmolLM2 360M
Compact 360M model. Good for basic tasks on very constrained devices.
0.36B parameterssmollmapache-2.08K context0.75GB - 0.86GB VRAM
Check Your Hardware
See which quantizations of SmolLM2 360M your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 0.252 GB | 0.75 GB | 1.25 GB | 85% |
| Q8_0 | 8 | 0.36 GB | 0.86 GB | 1.36 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 SmolLM2 360M?
SmolLM2 360M requires 0.75GB VRAM minimum with Q4_K_M quantization. For full precision, you need 0.86GB VRAM.
What is the best quantization for SmolLM2 360M?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.