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Qwen2.5-7B-Instruct-AWQ vs DeepSeek-R1-0528-Qwen3-8B

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

Qwen · A
Qwen2.5-7B-Instruct-AWQ
Params
7.6 B
Context
32,768
30d
4.6 M
apache-2.0 · commercial OK
deepseek-ai · B
DeepSeek-R1-0528-Qwen3-8B
Params
8.2 B
Context
131,072
30d
1.7 M
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct-AWQ DeepSeek-R1-0528-Qwen3-8B
Parameters 7.6 B 8.2 B
Architecture Qwen2ForCausalLM Qwen3ForCausalLM
Context length 32,768 131,072
Licence apache-2.0 mit
Commercial use Allowed Allowed
Languages 1 —
Downloads 30d 4,626,313 1,710,996
Downloads all time 16.8 M 6.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-17 2025-05-29

Download trend

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

4.6 M1.7 M
Qwen2.5-7B-Instruct-AWQ DeepSeek-R1-0528-Qwen3-8B

VRAM side by side

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

Qwen2.5-7B-Instruct-AWQ · fp16 7.8 GB / 24 GB
✅ Runs comfortably
DeepSeek-R1-0528-Qwen3-8B · fp16 @ 128K ctx 38.2 GB / 24 GB
❌ Won’t fit

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Qwen3-8B vs Qwen2.5-7B-Instruct-AWQ
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Qwen3-8B vs DeepSeek-R1-0528-Qwen3-8B
Qwen3.6-35B-A3B-NVFP4 vs Qwen2.5-7B-Instruct-AWQ
Qwen2.5-7B-Instruct vs DeepSeek-R1-0528-Qwen3-8B