Qwen2.5-14B-Instruct vs Meta-Llama-3.1-8B-Instruct
Specs, VRAM requirements and download trends — updated 14 September 2026.
Qwen · A · Open weights
Params
14.8 B
Context
32,768
30d
665 K
apache-2.0 · commercial OK
NousResearch · B · Open weights
Params
8.0 B
Context
131,072
30d
131 K
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-14B-Instruct | Meta-Llama-3.1-8B-Instruct |
|---|---|---|
| Parameters | 14.8 B | 8.0 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 664,729 | 131,302 |
| Downloads all time | 50.1 M | 4.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-16 | 2024-07-24 |
Download trend
Daily snapshots, last 90 days (14 Aug – 11 Nov)
3.2 M131 K
Qwen2.5-14B-Instruct
Meta-Llama-3.1-8B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-14B-Instruct · fp16
35.2 GB / 24 GB
Meta-Llama-3.1-8B-Instruct · fp16 @ 128K ctx
37.4 GB / 24 GB