gpt2 vs h2o-danube3-500m-chat

Specs, VRAM requirements and download trends — updated 25 October 2026.

openai-community · A · Open weights
Params
140 M
Context
—
30d
20.1 M
mit · commercial OK
h2oai · B · Open weights
Params
514 M
Context
8,192
30d
179 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification gpt2 h2o-danube3-500m-chat
Parameters 140 M 514 M
Architecture GPT2LMHeadModel LlamaForCausalLM
Context length — 8,192
Licence mit apache-2.0
Commercial use Allowed Allowed
Languages 1 1
Downloads 30d 20,107,244 179,005
Downloads all time 948.8 M 691 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2024-07-04

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

20.1 M156 K
gpt2 h2o-danube3-500m-chat

VRAM side by side

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

gpt2 · fp16 1.1 GB / 24 GB
✅ Runs comfortably
h2o-danube3-500m-chat · fp16 1.7 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons