Qwen3-32B vs Meta-Llama-3.1-70B-Instruct-AWQ-INT4
Specs, VRAM requirements and download trends — updated 6 August 2026.
hugging-quants · B
Params
70.6 B
Context
131,072
30d
220 K
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-32B | Meta-Llama-3.1-70B-Instruct-AWQ-INT4 |
|---|---|---|
| Parameters | 32.8 B | 70.6 B |
| Architecture | Qwen3ForCausalLM | LlamaForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | — | 8 |
| Downloads 30d | 8,346,113 | 219,745 |
| Downloads all time | 49.9 M | 4.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2024-07-19 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
10.1 M220 K
Qwen3-32B
Meta-Llama-3.1-70B-Instruct-AWQ-INT4
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-32B · fp16
77.5 GB / 24 GB
Meta-Llama-3.1-70B-Instruct-AWQ-INT4 · fp16 @ 128K ctx
213.6 GB / 24 GB