Qwen3.6-35B-A3B-NVFP4 vs DeepSeek-V2-Lite-Chat

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

nvidia · A
Params
18.7 B
Context
30d
11.3 M
apache-2.0 · commercial OK
deepseek-ai · B
Params
15.7 B
Context
163,840
30d
1.4 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.6-35B-A3B-NVFP4 DeepSeek-V2-Lite-Chat
Parameters 18.7 B 15.7 B
Architecture Qwen3_5MoeForConditionalGeneration DeepseekV2ForCausalLM
Context length 163,840
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages
Downloads 30d 11,298,952 1,354,449
Downloads all time 19.7 M 7.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-05-27 2024-05-15

Download trend

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

11.3 M1.2 M
Qwen3.6-35B-A3B-NVFP4 DeepSeek-V2-Lite-Chat

VRAM side by side

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

Qwen3.6-35B-A3B-NVFP4 · fp16 29.1 GB / 24 GB
❌ Won’t fit
DeepSeek-V2-Lite-Chat · fp16 @ 160K ctx 82.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons