gpt2 vs Qwen2.5-0.5B-Instruct
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · B · Open weights
Params
490 M
Context
32,768
30d
4.5 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt2 | Qwen2.5-0.5B-Instruct |
|---|---|---|
| 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 | 4,524,207 |
| Downloads all time | 969.1 M | 78.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2024-09-16 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
31.8 M4.5 M
gpt2
Qwen2.5-0.5B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gpt2 · fp16
1.1 GB / 24 GB
Qwen2.5-0.5B-Instruct · fp16
1.7 GB / 24 GB