Qwen2.5-0.5B vs Llama-3.2-1B-Instruct-FP8-dynamic
Specs, VRAM requirements and download trends — updated 4 August 2026.
RedHatAI · B · Open weights
Params
1.5 B
Context
131,072
30d
170 K
llama3.2 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-0.5B | Llama-3.2-1B-Instruct-FP8-dynamic |
|---|---|---|
| Parameters | 490 M | 1.5 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | llama3.2 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 1,171,698 | 170,223 |
| Downloads all time | 31.9 M | 13.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-15 | 2024-09-25 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.6 M170 K
Qwen2.5-0.5B
Llama-3.2-1B-Instruct-FP8-dynamic
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-0.5B · fp16
1.7 GB / 24 GB
Llama-3.2-1B-Instruct-FP8-dynamic · fp16 @ 128K ctx
6.3 GB / 24 GB