Gemma-4-31B-IT-NVFP4 vs DeepSeek-R1-0528-Qwen3-8B

Specs, VRAM requirements and download trends — updated 30 July 2026.

nvidia · A · Open weights
Params
20.9 B
Context
—
30d
920 K
deepseek-ai · B · Open weights
Params
8.2 B
Context
131,072
30d
354 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Gemma-4-31B-IT-NVFP4 DeepSeek-R1-0528-Qwen3-8B
Parameters 20.9 B 8.2 B
Architecture Gemma4ForConditionalGeneration Qwen3ForCausalLM
Context length — 131,072
Licence other mit
Commercial use Unknown Allowed
Languages — —
Downloads 30d 919,618 354,073
Downloads all time 13.6 M 8.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-04-02 2025-05-29

Download trend

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

2.8 M354 K
Gemma-4-31B-IT-NVFP4 DeepSeek-R1-0528-Qwen3-8B

VRAM side by side

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

DeepSeek-R1-0528-Qwen3-8B · fp16 @ 128K ctx 38.2 GB / 24 GB
❌ Won’t fit
Gemma-4-31B-IT-NVFP4 · fp16 39.5 GB / 24 GB
❌ Won’t fit

Adjacent comparisons