pythia-160m vs t5gemma-s-s-prefixlm
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | pythia-160m | t5gemma-s-s-prefixlm |
|---|---|---|
| Parameters | 210 M | 310 M |
| Architecture | GPTNeoXForCausalLM | T5GemmaForConditionalGeneration |
| Context length | 2,048 | — |
| Licence | apache-2.0 | gemma |
| Commercial use | Allowed | Conditional |
| Languages | 1 | — |
| Downloads 30d | 2,454,580 | 499,208 |
| Downloads all time | 20.8 M | 4.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | Yes — accept licence |
| First seen on the Hub | 2023-02-08 | 2025-06-19 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
2.5 M362 K
pythia-160m
t5gemma-s-s-prefixlm
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
pythia-160m · fp16
0.9 GB / 24 GB
t5gemma-s-s-prefixlm · fp16
1.2 GB / 24 GB