NVIDIA-Nemotron-3-Super-120B-A12B-BF16 vs gpt-oss-120b-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
nvidia · A · Open weights
Params
123.6 B
Context
262,144
30d
1.0 M
ggml-org · B · Open weights
Params
120.0 B
Context
131,072
30d
306 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 | gpt-oss-120b-GGUF |
|---|---|---|
| Parameters | 123.6 B | 120.0 B |
| Architecture | NemotronHForCausalLM | — |
| Context length | 262,144 | 131,072 |
| Licence | other | apache-2.0 |
| Commercial use | Unknown | Allowed |
| Languages | 7 | — |
| Downloads 30d | 1,042,412 | 306,072 |
| Downloads all time | 7.7 M | 3.1 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2026-03-10 | 2025-08-02 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.3 M164 K
NVIDIA-Nemotron-3-Super-120B-A12B-BF16
gpt-oss-120b-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 · fp16 @ 256K ctx
865.8 GB / 24 GB
Adjacent comparisons
gpt-oss-120b vs NVIDIA-Nemotron-3-Super-120B-A12B-BF16
dolphin-2.9.1-yi-1.5-34b vs NVIDIA-Nemotron-3-Super-120B-A12B-BF16
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 vs GLM-4.5-Air
DeepSeek-V4-Flash-0731 vs NVIDIA-Nemotron-3-Super-120B-A12B-BF16
DeepSeek-V4-Flash vs NVIDIA-Nemotron-3-Super-120B-A12B-BF16
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 vs Ornith-1.5-122B-GGUF