Qwen2.5-0.5B-Instruct vs vlt5-base-keywords

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

Qwen · A
Params
490 M
Context
32,768
30d
6.6 M
apache-2.0 · commercial OK
Voicelab · B
Params
280 M
Context
30d
221 K
cc-by-4.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-0.5B-Instruct vlt5-base-keywords
Parameters 490 M 280 M
Architecture Qwen2ForCausalLM T5ForConditionalGeneration
Context length 32,768
Licence apache-2.0 cc-by-4.0
Commercial use Allowed Allowed
Languages 1 2
Downloads 30d 6,560,475 220,918
Downloads all time 57.0 M 901 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2022-09-27

Download trend

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

6.6 M182 K
Qwen2.5-0.5B-Instruct vlt5-base-keywords

VRAM side by side

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

Qwen2.5-0.5B-Instruct · fp16 1.7 GB / 24 GB
✅ Runs comfortably
vlt5-base-keywords · fp16 1.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons