Qwen2.5-7B-Instruct vs DeepSeek-V2-Lite

Specs, VRAM requirements and download trends — updated 21 September 2026.

Qwen · A
Params
7.6 B
Context
32,768
30d
9.7 M
apache-2.0 · commercial OK
deepseek-ai · B
Params
15.7 B
Context
163,840
30d
304 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct DeepSeek-V2-Lite
Parameters 7.6 B 15.7 B
Architecture Qwen2ForCausalLM DeepseekV2ForCausalLM
Context length 32,768 163,840
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 1
Downloads 30d 9,656,808 304,131
Downloads all time 182.5 M 5.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2024-05-15

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

12.3 M304 K
Qwen2.5-7B-Instruct DeepSeek-V2-Lite

VRAM side by side

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

Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably
DeepSeek-V2-Lite · fp16 @ 160K ctx 82.2 GB / 24 GB
❌ Won’t fit

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