NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 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 | NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 | Meta-Llama-3.1-70B-Instruct-AWQ-INT4 |
|---|---|---|
| Parameters | 67.2 B | 70.6 B |
| Architecture | NemotronHForCausalLM | LlamaForCausalLM |
| Context length | 262,144 | 131,072 |
| Licence | other | llama3.1 |
| Commercial use | Unknown | Conditional |
| Languages | 7 | 8 |
| Downloads 30d | 2,830,012 | 219,745 |
| Downloads all time | 8.3 M | 4.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-03-10 | 2024-07-19 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
3.1 M220 K
NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4
Meta-Llama-3.1-70B-Instruct-AWQ-INT4
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Meta-Llama-3.1-70B-Instruct-AWQ-INT4 · fp16 @ 128K ctx
213.6 GB / 24 GB
NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 · fp16 @ 256K ctx
411.6 GB / 24 GB
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