Qwen3-1.7B vs SmolLM2-1.7B-Instruct
Specs, VRAM requirements and download trends — updated 10 November 2026.
HuggingFaceTB · B · Open weights
Params
1.7 B
Context
8,192
30d
267 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-1.7B | SmolLM2-1.7B-Instruct |
|---|---|---|
| Parameters | 2.0 B | 1.7 B |
| Architecture | Qwen3ForCausalLM | LlamaForCausalLM |
| Context length | 40,960 | 8,192 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 1 |
| Downloads 30d | 3,732,406 | 266,820 |
| Downloads all time | 68.4 M | 3.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2024-10-31 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
7.4 M191 K
Qwen3-1.7B
SmolLM2-1.7B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
SmolLM2-1.7B-Instruct · fp16
4.5 GB / 24 GB
Qwen3-1.7B · fp16
5.3 GB / 24 GB