gpt2 vs LFM2.5-230M-Base

Specs, VRAM requirements and download trends — updated 25 October 2026.

openai-community · A · Open weights
Params
140 M
Context
—
30d
20.1 M
mit · commercial OK
LiquidAI · B · Open weights
Params
230 M
Context
128,000
30d
149 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification gpt2 LFM2.5-230M-Base
Parameters 140 M 230 M
Architecture GPT2LMHeadModel Lfm2ForCausalLM
Context length — 128,000
Licence mit other
Commercial use Allowed Unknown
Languages 1 9
Downloads 30d 20,107,244 148,905
Downloads all time 948.8 M 190 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2026-06-16

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

20.1 M145 K
gpt2 LFM2.5-230M-Base

VRAM side by side

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

gpt2 · fp16 1.1 GB / 24 GB
✅ Runs comfortably
LFM2.5-230M-Base · fp16 @ 125K ctx 1.5 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons