Qwen3-8B vs t5gemma-2b-2b-ul2-it

Specs, VRAM requirements and download trends — updated 10 November 2026.

Qwen · A · Open weights
Params
8.2 B
Context
40,960
30d
6.8 M
apache-2.0 · commercial OK
google · B · Open weights
Params
5.6 B
Context
—
30d
173 K
gemma licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B t5gemma-2b-2b-ul2-it
Parameters 8.2 B 5.6 B
Architecture Qwen3ForCausalLM T5GemmaForConditionalGeneration
Context length 40,960 —
Licence apache-2.0 gemma
Commercial use Allowed Conditional
Languages — —
Downloads 30d 6,837,564 172,926
Downloads all time 137.6 M 328 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2025-04-27 2025-06-19

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

16.4 M143 K
Qwen3-8B t5gemma-2b-2b-ul2-it

VRAM side by side

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

t5gemma-2b-2b-ul2-it · fp16 13.7 GB / 24 GB
✅ Runs comfortably
Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context

Adjacent comparisons