Qwen2.5-VL-7B-Instruct vs Llama-3.1-Nemotron-Nano-VL-8B-V1
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-VL-7B-Instruct | Llama-3.1-Nemotron-Nano-VL-8B-V1 |
|---|---|---|
| Parameters | 8.3 B | 8.7 B |
| Architecture | Qwen2_5_VLForConditionalGeneration | — |
| Context length | 128,000 | — |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | — |
| Downloads 30d | 9,333,867 | 1,347,822 |
| Downloads all time | 88.5 M | 14.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-01-26 | 2025-06-03 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
9.3 M1.3 M
Qwen2.5-VL-7B-Instruct
Llama-3.1-Nemotron-Nano-VL-8B-V1
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.1-Nemotron-Nano-VL-8B-V1 · fp16
21.0 GB / 24 GB
Qwen2.5-VL-7B-Instruct · fp16 @ 125K ctx
38.2 GB / 24 GB