Qwen2.5-14B-Instruct-AWQ vs Meta-Llama-3-8B-Instruct
Specs, VRAM requirements and download trends — updated 7 September 2026.
Qwen · A · Open weights
Params
14.8 B
Context
32,768
30d
1.1 M
apache-2.0 · commercial OK
meta-llama · B · Open weights
Params
8.0 B
Context
—
30d
386 K
llama3 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-14B-Instruct-AWQ | Meta-Llama-3-8B-Instruct |
|---|---|---|
| Parameters | 14.8 B | 8.0 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | — |
| Licence | apache-2.0 | llama3 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 1 |
| Downloads 30d | 1,132,304 | 385,543 |
| Downloads all time | 18.6 M | 49.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | Yes — accept licence |
| First seen on the Hub | 2024-09-17 | 2024-04-17 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.4 M318 K
Qwen2.5-14B-Instruct-AWQ
Meta-Llama-3-8B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-14B-Instruct-AWQ · fp16
13.7 GB / 24 GB
Meta-Llama-3-8B-Instruct · fp16
19.4 GB / 24 GB