gemma-4-31B-it-FP8-block vs llava-onevision-qwen2-0.5b-ov-hf

Specs, VRAM requirements and download trends — updated 28 July 2026.

RedHatAI · A · Open weights
Params
31.3 B
Context
—
30d
936 K
apache-2.0 · commercial OK
llava-hf · B · Open weights
Params
890 M
Context
—
30d
821 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification gemma-4-31B-it-FP8-block llava-onevision-qwen2-0.5b-ov-hf
Parameters 31.3 B 890 M
Architecture Gemma4ForConditionalGeneration LlavaOnevisionForConditionalGeneration
Context length — —
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 2
Downloads 30d 936,323 821,026
Downloads all time 10.0 M 12.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-04-03 2024-08-13

Download trend

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

3.4 M821 K
gemma-4-31B-it-FP8-block llava-onevision-qwen2-0.5b-ov-hf

VRAM side by side

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

llava-onevision-qwen2-0.5b-ov-hf · fp16 2.6 GB / 24 GB
✅ Runs comfortably
gemma-4-31B-it-FP8-block · fp16 41.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons