Qwen2.5-7B-Instruct vs gpt-oss-20b-MXFP4-Q8
Specs, VRAM requirements and download trends — updated 21 September 2026.
mlx-community · B
Params
20.9 B
Context
131,072
30d
271 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-7B-Instruct | gpt-oss-20b-MXFP4-Q8 |
|---|---|---|
| Parameters | 7.6 B | 20.9 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 | 9,656,808 | 271,410 |
| Downloads all time | 182.5 M | 7.6 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-16 | 2025-08-29 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
12.3 M271 K
Qwen2.5-7B-Instruct
gpt-oss-20b-MXFP4-Q8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-7B-Instruct · fp16
18.4 GB / 24 GB
gpt-oss-20b-MXFP4-Q8 · fp16 @ 128K ctx
64.0 GB / 24 GB