MODEL COMPARISON
Llama-3.2-1B-Instruct vs Qwen3-1.7B
Llama-3.2-1B-Instruct and Qwen3-1.7B need about the same memory (within 1 GB): about 3 GB and about 3 GB. Llama-3.2-1B-Instruct has one runtime in release (Ollama). Qwen3-1.7B has one runtime in release (Ollama).
SIDE BY SIDE
| Compare | Llama-3.2-1B-Instruct | Qwen3-1.7B |
|---|---|---|
| Memory needed | about 3 GB · Up to 8 GB (laptop) | about 3 GB · Up to 8 GB (laptop) |
| Recommended quant | Q4_K_M · 807.7 MB | Q4_K_M · 1.1 GB |
| llama.cpp support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| Ollama support | ReleasedChecked 22 Oct 2026 | ReleasedChecked 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 | Architecture listedChecked 22 Oct 2026 |
| vLLM support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| On Hugging Face since | 18 Sep 2024 | 27 Apr 2025 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | meta-llama | Qwen |
| Downloads | 4.3M | 4.2M |
| Model page | Open Llama-3.2-1B-Instruct ↗ | Open Qwen3-1.7B ↗ |
| 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.