gpt2 vs pythia-160m
Specs, VRAM requirements and download trends — updated 20 September 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt2 | pythia-160m |
|---|---|---|
| Parameters | 140 M | 210 M |
| Architecture | GPT2LMHeadModel | GPTNeoXForCausalLM |
| Context length | — | 2,048 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 15,362,811 | 3,470,216 |
| Downloads all time | 925.8 M | 26.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2023-02-08 |
Download trend
Daily snapshots, last 55 days (28 Jul – 20 Sep)
15.6 M2.3 M
gpt2
pythia-160m
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
pythia-160m · fp16
0.9 GB / 24 GB
gpt2 · fp16
1.1 GB / 24 GB