Qwen3-32B-AWQ vs Llama-3_3-Nemotron-Super-49B-v1_5-FP8
Specs, VRAM requirements and download trends — updated 1 August 2026.
Qwen · A · Open weights
Params
32.8 B
Context
40,960
30d
686 K
apache-2.0 · commercial OK
nvidia · B · Open weights
Params
49.9 B
Context
131,072
30d
204 K
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-32B-AWQ | Llama-3_3-Nemotron-Super-49B-v1_5-FP8 |
|---|---|---|
| Parameters | 32.8 B | 49.9 B |
| Architecture | Qwen3ForCausalLM | DeciLMForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | — | 1 |
| Downloads 30d | 686,315 | 203,999 |
| Downloads all time | 10.1 M | 1.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-05-01 | 2025-07-31 |
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
2.0 M204 K
Qwen3-32B-AWQ
Llama-3_3-Nemotron-Super-49B-v1_5-FP8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-32B-AWQ · fp16
26.7 GB / 24 GB
Llama-3_3-Nemotron-Super-49B-v1_5-FP8 · fp16 @ 128K ctx
177.4 GB / 24 GB