Qwen2.5-Coder-32B-Instruct-AWQ vs Llama-3.1-70B-Instruct
Specs, VRAM requirements and download trends — updated 3 August 2026.
Qwen · A
Params
32.8 B
Context
32,768
30d
1.5 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-Coder-32B-Instruct-AWQ | Llama-3.1-70B-Instruct |
|---|---|---|
| Parameters | 32.8 B | 70.6 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | — |
| Licence | apache-2.0 | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 1,492,549 | 203,439 |
| Downloads all time | 11.3 M | 24.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | Yes — accept licence |
| First seen on the Hub | 2024-11-09 | 2024-07-16 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
1.8 M203 K
Qwen2.5-Coder-32B-Instruct-AWQ
Llama-3.1-70B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-Coder-32B-Instruct-AWQ · fp16
26.7 GB / 24 GB
Llama-3.1-70B-Instruct · fp16
166.3 GB / 24 GB
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