NVIDIA-Nemotron-3-Super-120B-A12B-BF16 vs Ornith-1.5-397B
Specs, VRAM requirements and download trends — updated 15 September 2026.
nvidia · A · Open weights
Params
123.6 B
Context
262,144
30d
1.0 M
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 | Ornith-1.5-397B |
|---|---|---|
| Parameters | 123.6 B | 403.4 B |
| Architecture | NemotronHForCausalLM | Qwen3_5MoeForConditionalGeneration |
| Context length | 262,144 | — |
| Licence | other | mit |
| Commercial use | Unknown | Allowed |
| Languages | 7 | — |
| Downloads 30d | 1,021,908 | 225,272 |
| Downloads all time | 7.2 M | 884 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-03-10 | 2026-08-18 |
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
1.3 M212 K
NVIDIA-Nemotron-3-Super-120B-A12B-BF16
Ornith-1.5-397B
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
Ornith-1.5-397B · fp16
948.5 GB / 24 GB
Adjacent comparisons
gpt-oss-120b vs NVIDIA-Nemotron-3-Super-120B-A12B-BF16
DeepSeek-V4-Flash-0731 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
Qwen3-32B vs NVIDIA-Nemotron-3-Super-120B-A12B-BF16
DeepSeek-V3.2 vs Ornith-1.5-397B