Llama-3.2-1B-Instruct vs Qwen2.5-Math-1.5B
Specs, VRAM requirements and download trends — updated 21 September 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Llama-3.2-1B-Instruct | Qwen2.5-Math-1.5B |
|---|---|---|
| Parameters | 1.2 B | 1.5 B |
| Architecture | LlamaForCausalLM | Qwen2ForCausalLM |
| Context length | — | 4,096 |
| Licence | llama3.2 | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 8 | 1 |
| Downloads 30d | 6,922,063 | 207,749 |
| Downloads all time | 103.8 M | 7.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-09-18 | 2024-09-16 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
10.4 M208 K
Llama-3.2-1B-Instruct
Qwen2.5-Math-1.5B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.2-1B-Instruct · fp16
3.4 GB / 24 GB
Qwen2.5-Math-1.5B · fp16
4.1 GB / 24 GB