pythia-160m vs vlt5-base-keywords

Specs, VRAM requirements and download trends — updated 6 August 2026.

EleutherAI · A
Params
210 M
Context
2,048
30d
2.5 M
apache-2.0 · commercial OK
Voicelab · B
Params
280 M
Context
30d
221 K
cc-by-4.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification pythia-160m vlt5-base-keywords
Parameters 210 M 280 M
Architecture GPTNeoXForCausalLM T5ForConditionalGeneration
Context length 2,048
Licence apache-2.0 cc-by-4.0
Commercial use Allowed Allowed
Languages 1 2
Downloads 30d 2,454,580 220,918
Downloads all time 20.8 M 901 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-02-08 2022-09-27

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

2.5 M182 K
pythia-160m vlt5-base-keywords

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

pythia-160m · fp16 0.9 GB / 24 GB
✅ Runs comfortably
vlt5-base-keywords · fp16 1.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons