Qwen3-4B-Instruct-2507 vs Llama-3.2-3B-Instruct-FP8-dynamic
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
4.0 B
Context
262,144
30d
2.6 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 | Qwen3-4B-Instruct-2507 | Llama-3.2-3B-Instruct-FP8-dynamic |
|---|---|---|
| Parameters | 4.0 B | 3.6 B |
| Architecture | Qwen3ForCausalLM | LlamaForCausalLM |
| Context length | 262,144 | 131,072 |
| Licence | apache-2.0 | llama3.2 |
| Commercial use | Allowed | Conditional |
| Languages | — | 8 |
| Downloads 30d | 2,557,680 | 233,446 |
| Downloads all time | 66.6 M | 958 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-08-05 | 2024-09-25 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.0 M207 K
Qwen3-4B-Instruct-2507
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
Qwen3-4B-Instruct-2507 · fp16 @ 256K ctx
28.6 GB / 24 GB