Qwen3-8B vs Ornith-1.5-35B-A3B-NVFP4

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
ornith-ai · B · Open weights
Params
19.5 B
Context
—
30d
1.1 M
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B Ornith-1.5-35B-A3B-NVFP4
Parameters 8.2 B 19.5 B
Architecture Qwen3ForCausalLM Qwen3_5MoeForConditionalGeneration
Context length 40,960 —
Licence apache-2.0 mit
Commercial use Allowed Allowed
Languages — —
Downloads 30d 6,837,564 1,102,552
Downloads all time 137.6 M 3.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2026-08-18

Download trend

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

16.4 M187 K
Qwen3-8B Ornith-1.5-35B-A3B-NVFP4

VRAM side by side

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

Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context
Ornith-1.5-35B-A3B-NVFP4 · fp16 29.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons