gpt2 vs Qwen2.5-0.5B
Specs, VRAM requirements and download trends — updated 10 November 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt2 | Qwen2.5-0.5B |
|---|---|---|
| Parameters | 140 M | 490 M |
| Architecture | GPT2LMHeadModel | Qwen2ForCausalLM |
| Context length | — | 32,768 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 31,775,505 | 1,171,698 |
| Downloads all time | 969.1 M | 31.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2024-09-15 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
31.8 M1.2 M
gpt2
Qwen2.5-0.5B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gpt2 · fp16
1.1 GB / 24 GB
Qwen2.5-0.5B · fp16
1.7 GB / 24 GB