gpt2 vs gemma-3-270m
Specs, VRAM requirements and download trends — updated 10 November 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt2 | gemma-3-270m |
|---|---|---|
| Parameters | 140 M | 270 M |
| Architecture | GPT2LMHeadModel | Gemma3ForCausalLM |
| Context length | — | — |
| Licence | mit | gemma |
| Commercial use | Allowed | Conditional |
| Languages | 1 | — |
| Downloads 30d | 31,775,505 | 237,541 |
| Downloads all time | 969.1 M | 17.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | Yes — accept licence |
| First seen on the Hub | 2022-03-02 | 2025-08-05 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
31.8 M238 K
gpt2
gemma-3-270m
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gpt2 · fp16
1.1 GB / 24 GB
gemma-3-270m · fp16
1.1 GB / 24 GB