Qwen3-0.6B-FP8 vs gpt2-medium
Specs, VRAM requirements and download trends — updated 15 August 2026.
Qwen · A · Open weights
Params
750 M
Context
40,960
30d
138 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-0.6B-FP8 | gpt2-medium |
|---|---|---|
| Parameters | 750 M | 380 M |
| Architecture | Qwen3ForCausalLM | GPT2LMHeadModel |
| Context length | 40,960 | — |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | 1 |
| Downloads 30d | 138,488 | 165,931 |
| Downloads all time | 13.5 M | 30.0 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-28 | 2022-03-02 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.2 M138 K
Qwen3-0.6B-FP8
gpt2-medium
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-0.6B-FP8 · fp16
1.8 GB / 24 GB
gpt2-medium · fp16
2.2 GB / 24 GB