Qwen2.5-Coder-7B-Instruct vs Llama-3.2-3B-Instruct-FP8-dynamic
Specs, VRAM requirements and download trends — updated 8 October 2026.
Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
1.3 M
apache-2.0 · commercial OK
RedHatAI · B · Open weights
Params
3.6 B
Context
131,072
30d
233 K
llama3.2 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-Coder-7B-Instruct | Llama-3.2-3B-Instruct-FP8-dynamic |
|---|---|---|
| Parameters | 7.6 B | 3.6 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 | 1,313,849 | 233,446 |
| Downloads all time | 25.9 M | 958 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-17 | 2024-09-25 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.8 M207 K
Qwen2.5-Coder-7B-Instruct
Llama-3.2-3B-Instruct-FP8-dynamic
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.2-3B-Instruct-FP8-dynamic · fp16 @ 128K ctx
14.0 GB / 24 GB
Qwen2.5-Coder-7B-Instruct · fp16
18.4 GB / 24 GB