MODEL COMPARISON
gemma-3-4b-it vs SmolLM3-3B
gemma-3-4b-it and SmolLM3-3B need about the same memory (within 1 GB): about 5 GB (text weights only) and about 4 GB. gemma-3-4b-it has one runtime in release (Ollama). SmolLM3-3B has no runtime listed as in release.
SIDE BY SIDE
| Compare | gemma-3-4b-it | SmolLM3-3B |
|---|---|---|
| Memory needed | about 5 GB · Up to 8 GB (laptop) (text weights only) | about 4 GB · Up to 8 GB (laptop) |
| Recommended quant | Q4_K_M · 2.5 GB | Q4_K_M · 1.9 GB |
| llama.cpp support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| Ollama support | ReleasedChecked 22 Oct 2026 | UnknownVersion v0.40.8 · Checked 22 Oct 2026 |
| LM Studio support | Upload availableChecked 22 Oct 2026 | Upload availableChecked 22 Oct 2026 |
| MLX / mlx-lm support | Architecture listedChecked 22 Oct 2026 | Upload availableChecked 22 Oct 2026 |
| vLLM support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| On Hugging Face since | 20 Feb 2025 | 08 Jul 2025 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | HuggingFaceTB | |
| Downloads | 1M | 731K |
| Model page | Open gemma-3-4b-it ↗ | Open SmolLM3-3B ↗ |
| Fits these setups |
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Memory needed is the same estimate shown on each model page: the recommended observed file plus 20% headroom and a 1.5 GB runtime allowance. See which setups fit →
These are estimates from observed file sizes, not benchmarks. They don’t account for long contexts or the KV cache, and fitting does not establish runtime compatibility or speed.