gpt2 vs gemma-3-270m-it

Specs, VRAM requirements and download trends — updated 16 August 2026.

openai-community · A · Open weights
Params
140 M
Context
—
30d
31.8 M
mit · commercial OK
google · B · Open weights
Params
270 M
Context
—
30d
172 K
gemma licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification gpt2 gemma-3-270m-it
Parameters 140 M 270 M
Architecture GPT2LMHeadModel Gemma3ForCausalLM
Context length — —
Licence mit gemma
Commercial use Allowed Conditional
Languages 1 —
Downloads 30d 31,775,505 171,508
Downloads all time 969.1 M 3.0 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2022-03-02 2025-07-30

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

31.8 M172 K
gpt2 gemma-3-270m-it

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

gpt2 · fp16 1.1 GB / 24 GB
✅ Runs comfortably
gemma-3-270m-it · fp16 1.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons