SmolLM2-360M-Instruct
1recorded run
968.1best tok/s
1verified
What the SmolLM2-360M-Instruct numbers mean
The fastest verified result on our board is 968.1 output tok/s on an RTX PRO 6000 Blackwell at Q8_0 with a 4608-token context. That is about 1.0 ms per generated token — 500 tokens takes roughly 0.5 seconds. Prompt processing on the same record runs at 103783.1 tok/s, so a 2,000-token prompt is read in about 0.0 seconds. Peak VRAM was measured at 1.1 GB.
How much VRAM does SmolLM2-360M-Instruct need?
SmolLM2-360M-Instruct has 0.4B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 1.0 GB | 8 GB |
| Q8_0 (8-bit) | 1.2 GB | 8 GB |
| FP16 (16-bit) | 1.6 GB | 8 GB |
Fastest GPUs for this model (best tok/s)
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| LFM2-350M | 350M | 0.2 GB |
| LFM2.5-350M | 350M | 0.2 GB |
| MobileLLM-350M | 350M | 0.2 GB |
| LFM2.5-230M | 230M | 0.1 GB |
| Qwen2.5-0.5B-Instruct | 500M | 0.3 GB |
| SmolLM2-135M-Instruct | 135M | 0.1 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX PRO 6000 Blackwell · 96 GB | SmolLM2-360M-Instruct | Q8_0 | llama.cpp 876a432 | 4608 | 968.1 ✓ | 103783.1 | 1.1 | src |