Qwen2.5-7B-Instruct-AWQ vs GPT-OSS-20B-NPU2
Specs, VRAM requirements and download trends — updated 19 September 2026.
Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
1.6 M
apache-2.0 · commercial OK
FastFlowLM · B · Open weights
Params
20.0 B
Context
131,072
30d
140 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-7B-Instruct-AWQ | GPT-OSS-20B-NPU2 |
|---|---|---|
| Parameters | 7.6 B | 20.0 B |
| Architecture | Qwen2ForCausalLM | GptOssForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 1,642,251 | 140,360 |
| Downloads all time | 26.1 M | 812 K |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2024-09-17 | 2025-09-26 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.7 M140 K
Qwen2.5-7B-Instruct-AWQ
GPT-OSS-20B-NPU2
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-7B-Instruct-AWQ · fp16
7.8 GB / 24 GB