gpt2 vs LFM2.5-350M
Specs, VRAM requirements and download trends — updated 10 November 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt2 | LFM2.5-350M |
|---|---|---|
| Parameters | 140 M | 355 M |
| Architecture | GPT2LMHeadModel | Lfm2ForCausalLM |
| Context length | — | 128,000 |
| Licence | mit | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | 9 |
| Downloads 30d | 31,775,505 | 161,051 |
| Downloads all time | 969.1 M | 739 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2026-03-31 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
31.8 M153 K
gpt2
LFM2.5-350M
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gpt2 · fp16
1.1 GB / 24 GB
LFM2.5-350M · fp16 @ 125K ctx
2.1 GB / 24 GB