Qwen-72B vs Meta-Llama-3.1-70B-Instruct-AWQ-INT4
Specs, VRAM requirements and download trends — updated 27 August 2026.
hugging-quants · B · Open weights
Params
70.6 B
Context
131,072
30d
140 K
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen-72B | Meta-Llama-3.1-70B-Instruct-AWQ-INT4 |
|---|---|---|
| Parameters | 72.3 B | 70.6 B |
| Architecture | QWenLMHeadModel | LlamaForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | other | llama3.1 |
| Commercial use | Unknown | Conditional |
| Languages | 2 | 8 |
| Downloads 30d | 157,322 | 140,116 |
| Downloads all time | 7.5 M | 5.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-11-26 | 2024-07-19 |
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
4.2 M140 K
Qwen-72B
Meta-Llama-3.1-70B-Instruct-AWQ-INT4
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-72B · fp16
170.4 GB / 24 GB
Meta-Llama-3.1-70B-Instruct-AWQ-INT4 · fp16 @ 128K ctx
213.6 GB / 24 GB