Qwen2-1.5B-Instruct vs VLM2Vec-Full
Specs, VRAM requirements and download trends — updated 7 August 2026.
Qwen · A · Open weights
Params
1.5 B
Context
32,768
30d
210 K
apache-2.0 · commercial OK
TIGER-Lab · B · Open weights
Params
4.2 B
Context
131,072
30d
199 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2-1.5B-Instruct | VLM2Vec-Full |
|---|---|---|
| Parameters | 1.5 B | 4.2 B |
| Architecture | Qwen2ForCausalLM | Phi3VForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 210,398 | 199,363 |
| Downloads all time | 31.9 M | 2.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-06-03 | 2024-10-08 |
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
3.3 M199 K
Qwen2-1.5B-Instruct
VLM2Vec-Full
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2-1.5B-Instruct · fp16
4.1 GB / 24 GB
VLM2Vec-Full · fp16 @ 128K ctx
19.6 GB / 24 GB