gpt2 vs bloom-560m
Specs, VRAM requirements and download trends — updated 21 September 2026.
bigscience · B
Params
560 M
Context
—
30d
502 K
bigscience-bloom-rail-1.0 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt2 | bloom-560m |
|---|---|---|
| Parameters | 140 M | 560 M |
| Architecture | GPT2LMHeadModel | BloomForCausalLM |
| Context length | — | — |
| Licence | mit | bigscience-bloom-rail-1.0 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 48 |
| Downloads 30d | 15,132,408 | 502,462 |
| Downloads all time | 926.2 M | 26.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2022-05-19 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
15.6 M436 K
gpt2
bloom-560m
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gpt2 · fp16
1.1 GB / 24 GB
bloom-560m · fp16
1.8 GB / 24 GB