Qwen3.6-35B-A3B-NVFP4 vs llm-jp-4-33b-thinking-gguf

Specs, VRAM requirements and download trends — updated 24 October 2026.

nvidia · A · Open weights
Params
18.7 B
Context
—
30d
4.1 M
apache-2.0 · commercial OK
llm-jp · B · Open weights
Params
33.0 B
Context
—
30d
271 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.6-35B-A3B-NVFP4 llm-jp-4-33b-thinking-gguf
Parameters 18.7 B 33.0 B
Architecture Qwen3_5MoeForConditionalGeneration —
Context length — —
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 2
Downloads 30d 4,104,529 271,493
Downloads all time 39.4 M 498 K
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2026-05-27 2026-08-18

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

12.6 M192 K
Qwen3.6-35B-A3B-NVFP4 llm-jp-4-33b-thinking-gguf

VRAM side by side

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

llm-jp-4-33b-thinking-gguf · Q4_K_M 27.6 GB / 24 GB
❌ Won’t fit
Qwen3.6-35B-A3B-NVFP4 · fp16 29.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons