Qwen2.5-7B-Instruct vs DeepSeek-Coder-V2-Lite-Instruct-FP8

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

Qwen · A
Params
7.6 B
Context
32,768
30d
12.1 M
apache-2.0 · commercial OK
RedHatAI · B
Params
15.7 B
Context
163,840
30d
204 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct DeepSeek-Coder-V2-Lite-Instruct-FP8
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 12,117,940 203,893
Downloads all time 165.8 M 1.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2024-07-17

Download trend

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

12.2 M195 K
Qwen2.5-7B-Instruct DeepSeek-Coder-V2-Lite-Instruct-FP8

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-Coder-V2-Lite-Instruct-FP8 · fp16 @ 160K ctx 65.4 GB / 24 GB
❌ Won’t fit

Adjacent comparisons