nvidia · nemotron_h
NVIDIA-Nemotron-3-Super-120B-A12B-BF16
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 by nvidia: a 123.6B-parameter mixture-of-experts open-weight model under the other license.
1,275,676 downloads · 426 likes · Model card · synced 2026-09-19
Specifications
- Parameters
- 123.6B (5.3B active)
- Architecture
- moe · nemotron_h
- Layers
- 88
- Hidden size
- 4,096
- KV heads · head dim
- 2 · 128
- Vocabulary
- 131,072
- Native dtype
- —
- Context window
- 262,144 tokens
- Released
- 2026-03-10
- Last modified on Hub
- 2026-08-25
Features & licensing
- License
- other
- Commercial use
- No
- Modalities
- text
- Tool / function calling
- No
- Reasoning mode
- No
- Languages
- EN, FR, ES, IT, DE, JA, ZH
- Quantised variants on Hub
- GGUF, bitsandbytes
- Pipeline
- text-generation
Task fit
Editorial scores (0–100) used by the recommendation engine.
- Chat70
- RAG / Q&A70
- Code70
- Summarisation70
- Extraction70
- Agents70
Hardware to run NVIDIA-Nemotron-3-Super-120B-A12B-BF16
Weights need about 272 GB at FP16, 143 GB at INT8 and 82 GB at INT4. The KV cache adds roughly 90 MB per 1,000 tokens per request. For a reference workload of 5 requests per second with 1,500 input and 300 output tokens, total GPU memory is around 110 GB, which fits on 2 × NVIDIA A100 (80 GB).
| Configuration | VRAM | Utilisation | Est. first token | Cloud / month |
|---|---|---|---|---|
| 5 × NVIDIA L4 (24 GB) | 120 GB | 92 % | ~0.5 s | $2,920 |
| 3 × NVIDIA L40S (48 GB) | 144 GB | 76 % | ~0.2 s | $4,161 |
| 2 × NVIDIA A100 (80 GB)recommended | 160 GB | 69 % | ~0.1 s | $4,672 |
| 2 × NVIDIA H100 (80 GB) | 160 GB | 69 % | ~0.0 s | $6,570 |
Estimates only. Run an assessment for your own traffic.
Auto-imported from Hugging Face. Architecture, license and feature data are synced from the model repository; the task-fit scores below are provisional defaults until a curator reviews them.