Qwen2.5-0.5B-Instruct vs vlt5-base-keywords
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
490 M
Context
32,768
30d
4.5 M
apache-2.0 · commercial OK
Voicelab · B · Open weights
Params
280 M
Context
—
30d
220 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 | 4,524,207 | 219,744 |
| Downloads all time | 78.1 M | 1.8 M |
| 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 90 days (13 Aug – 10 Nov)
8.7 M214 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
vlt5-base-keywords · fp16
1.8 GB / 24 GB