Qwen2.5-3B-Instruct vs Llama-3.2-1B-Instruct-FP8
Specs, VRAM requirements and download trends — updated 2 September 2026.
RedHatAI · B · Open weights
Params
1.5 B
Context
131,072
30d
185 K
llama3.2 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-3B-Instruct | Llama-3.2-1B-Instruct-FP8 |
|---|---|---|
| Parameters | 3.1 B | 1.5 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | other | llama3.2 |
| Commercial use | Unknown | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 2,587,484 | 185,376 |
| Downloads all time | 125.6 M | 6.6 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-17 | 2024-09-26 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
7.6 M185 K
Qwen2.5-3B-Instruct
Llama-3.2-1B-Instruct-FP8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.2-1B-Instruct-FP8 · fp16 @ 128K ctx
6.3 GB / 24 GB
Qwen2.5-3B-Instruct · fp16
7.8 GB / 24 GB