gpt2 vs llama-160m
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt2 | llama-160m |
|---|---|---|
| Parameters | 140 M | 160 M |
| Architecture | GPT2LMHeadModel | LlamaForCausalLM |
| Context length | — | 2,048 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 13,734,664 | 251,368 |
| Downloads all time | 901.9 M | 4.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2023-05-26 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
13.9 M246 K
gpt2
llama-160m
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gpt2 · fp16
1.1 GB / 24 GB
llama-160m · fp16
1.2 GB / 24 GB