Qwen2.5-3B-Instruct vs gpt2-xl
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-3B-Instruct | gpt2-xl |
|---|---|---|
| Parameters | 3.1 B | 1.6 B |
| Architecture | Qwen2ForCausalLM | GPT2LMHeadModel |
| Context length | 32,768 | — |
| Licence | other | mit |
| Commercial use | Unknown | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 5,952,246 | 159,722 |
| Downloads all time | 110.0 M | 16.7 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-17 | 2022-03-02 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
6.0 M160 K
Qwen2.5-3B-Instruct
gpt2-xl
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-3B-Instruct · fp16
7.8 GB / 24 GB
gpt2-xl · fp16
7.8 GB / 24 GB