Qwen3-8B vs RnJ-1-Instruct-FP8

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

Qwen · A
Params
8.2 B
Context
40,960
30d
16.3 M
apache-2.0 · commercial OK
Doradus-AI · B
Params
8.8 B
Context
32,768
30d
164 K
gemma licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B RnJ-1-Instruct-FP8
Parameters 8.2 B 8.8 B
Architecture Qwen3ForCausalLM Gemma3ForCausalLM
Context length 40,960 32,768
Licence apache-2.0 gemma
Commercial use Allowed Conditional
Languages 1
Downloads 30d 16,272,885 163,514
Downloads all time 103.2 M 1.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2025-12-07

Download trend

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

16.6 M164 K
Qwen3-8B RnJ-1-Instruct-FP8

VRAM side by side

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

RnJ-1-Instruct-FP8 · fp16 15.0 GB / 24 GB
✅ Runs comfortably
Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context

Adjacent comparisons