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Qwen2.5-7B-Instruct-AWQ vs deepseek-coder-6.7b-instruct

Specs, VRAM requirements and download trends — updated 20 September 2026.

Qwen · A
Qwen2.5-7B-Instruct-AWQ
Params
7.6 B
Context
32,768
30d
3.5 M
apache-2.0 · commercial OK
deepseek-ai · B
deepseek-coder-6.7b-instruct
Params
6.7 B
Context
16,384
30d
306 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct-AWQ deepseek-coder-6.7b-instruct
Parameters 7.6 B 6.7 B
Architecture Qwen2ForCausalLM LlamaForCausalLM
Context length 32,768 16,384
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 1 —
Downloads 30d 3,513,666 306,374
Downloads all time 22.8 M 3.7 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-17 2023-10-29

Download trend

Daily snapshots, last 55 days (28 Jul – 20 Sep)

4.7 M306 K
Qwen2.5-7B-Instruct-AWQ deepseek-coder-6.7b-instruct

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-6.7b-instruct · fp16 16.3 GB / 24 GB
✅ Runs comfortably

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Qwen2.5-7B-Instruct-AWQ vs Qwen2.5-Coder-7B-Instruct