canirunaimodel
SmolLM3 3B
Apache 2.0HuggingFace · 3B · Dense
Lightweight multilingual reasoning
126.2K downloads
905 likes
2025-07 128K context
Use Cases
chat reasoning
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 1.5 GB | low | — |
| Q3_K_M | 3 | 1.8 GB | moderate | — |
| Q4_K_M | 4 | 2 GB | good | — |
| Q5_K_M | 5 | 2.4 GB | good | — |
| Q6_K | 6 | 2.8 GB | excellent | — |
| Q8_0 | 8 | 3.6 GB | excellent | — |
| F16 | 16 | 6.6 GB | lossless | — |
About this model
HF model card
SmolLM
HuggingFace
3B
Dense model for chat, reasoning workloads.
Context
128K
Q4 VRAM
~2 GB
Dense
SmolLM3 3B on your hardware
Lightweight multilingual reasoning. This page turns the Hugging Face model card into practical local-run numbers, so you can compare quantized VRAM, system RAM, and expected fit before downloading a large checkpoint.
Model shape
3B total parameters. Dense models use the whole network for each token.
Local fit target
Start with Q4_K_M: about 1.5 GB on disk and 2 GB VRAM before extra context and runtime overhead.
Best use cases
chat, reasoning
License and source
Listed as Apache 2.0 from huggingface.co/HuggingFaceTB/SmolLM3-3B.
Want the real verdict? Pick your GPU or edit the specs on this page and compare the quant table below.
Open HF repo