Qwen2.5-14B-Instruct vs NVIDIA-Nemotron-3-Nano-4B-BF16
Specs, VRAM requirements and download trends — updated 2 October 2026.
Qwen · A · Open weights
Params
14.8 B
Context
32,768
30d
679 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-14B-Instruct | NVIDIA-Nemotron-3-Nano-4B-BF16 |
|---|---|---|
| Parameters | 14.8 B | 4.0 B |
| Architecture | Qwen2ForCausalLM | NemotronHForCausalLM |
| Context length | 32,768 | 262,144 |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | 1 |
| Downloads 30d | 679,049 | 1,876,232 |
| Downloads all time | 50.1 M | 10.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-16 | 2026-03-07 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.9 M378 K
Qwen2.5-14B-Instruct
NVIDIA-Nemotron-3-Nano-4B-BF16
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
NVIDIA-Nemotron-3-Nano-4B-BF16 · fp16 @ 256K ctx
28.3 GB / 24 GB
Qwen2.5-14B-Instruct · fp16
35.2 GB / 24 GB