NVIDIA-Nemotron-3-Super-120B-A12B-FP8

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NVIDIA-Nemotron-3-Super-120B-A12B-FP8

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8

kind: fp8
quant: fp8 (8-bit)
family: nemotron
modality: text-generation
root model: nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16
provider: nvidia
license: other
language: en, fr, es, it, de, ja, zh
context: 1M
library: transformers
vRAM (GB): —
size on disk: —
downloads: 223,554
likes: 269
created: —
last modified: 2026-04-29T16:15:20+00:00 (2026)
huggingface: https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8
tags: transformerssafetensorsnemotron_htext-generationnvidiapytorchnemotron-3latent-moemtpconversationalcustom_codeenfresitdejazhdataset:nvidia/nemotron-post-training-v3dataset:nvidia/nemotron-pre-training-datasetsarxiv:2512.20848arxiv:2512.20856license:othereval-results

Benchmark scores (13)

benchmark	category	score	context	conf	evidence
RULER	long-context	96.79	RULER-500 @ 128k (500 samples per task)	medium	`\| RULER-500 @ 128k (500 samples per task) \| 96.79 \| 96.85 \| 95.99 \|`
RULER	long-context	96.6	RULER-500 @ 256k (500 samples per task)	medium	`\| RULER-500 @ 256k (500 samples per task) \| 96.60 \| 96.33 \| 96.52 \|`
RULER	long-context	96.09	RULER-500 @ 512k (500 samples per task)	medium	`\| RULER-500 @ 512k (500 samples per task) \| 96.09 \| 95.66 \| 96.23 \|`
MMLU-Pro	knowledge	83.73	MMLU-Pro	medium	`\| MMLU-Pro \| 83.73 \| 83.63 \| 83.33 \|`
LiveCodeBench	coding	81.19	LiveCodeBench (v5 2024-07↔2024-12)	medium	`\| LiveCodeBench (v5 2024-07↔2024-12) \| 81.19 \| 80.99 \| 80.56 \|`
MMLU-Pro	knowledge	79.35	MMLU-ProX (avg over languages)	medium	`\| MMLU-ProX (avg over languages) \| 79.35 \| 79.21 \| 79.37 \|`
GPQA	reasoning	79.23	GPQA (no tools)	medium	`\| GPQA (no tools) \| 79.23 \| 79.36 \| 79.42 \|`
LiveCodeBench	coding	78.69	LiveCodeBench (v6 2024-08↔2025-05)	medium	`\| LiveCodeBench (v6 2024-08↔2025-05) \| 78.69 \| 78.44 \| 78.44 \|`
Chatbot Arena	chat	73.88	Arena-Hard-V2 (Hard Prompt)	medium	`\| Arena-Hard-V2 (Hard Prompt) \| 73.88 \| 76.06 \| 76.00 \|`
IFBench	instruction-following	72.58	IFBench (prompt)	medium	`\| IFBench (prompt) \| 72.58 \| 72.32 \| 73.30 \|`
SciCode	coding	42.05	SciCode (subtask)	medium	`\| SciCode (subtask) \| 42.05 \| 41.38 \| 40.83 \|`
Terminal-Bench	agentic-coding	25.78	Terminal Bench (hard subset)	medium	`\| Terminal Bench (hard subset) \| 25.78 \| 26.04 \| 24.48 \|`
Humanity's Last Exam	knowledge	18.26	HLE (no tools)	medium	`\| HLE (no tools) \| 18.26 \| 17.42 \| 17.42 \|`

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