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Qwen2.5-7B-Instruct-AWQ vs deepseek-coder-7b-instruct-v1.5

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-coder-7b-instruct-v1.5
Params
6.9 B
Context
4,096
30d
599 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct-AWQ deepseek-coder-7b-instruct-v1.5
Parameters 7.6 B 6.9 B
Architecture Qwen2ForCausalLM LlamaForCausalLM
Context length 32,768 4,096
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 1 —
Downloads 30d 4,626,313 598,564
Downloads all time 16.8 M 2.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-17 2024-01-25

Download trend

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

4.6 M484 K
Qwen2.5-7B-Instruct-AWQ deepseek-coder-7b-instruct-v1.5

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-coder-7b-instruct-v1.5 · fp16 16.7 GB / 24 GB
✅ Runs comfortably

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