HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

Nemotron-Labs-TwoTower-30B-A3B-Base-BF16

nvidia/Nemotron-Labs-TwoTower-30B-A3B-Base-BF16

kind
original
quant
bf16 (16-bit)
family
nemotron
modality
text-generation
root model
nvidia/Nemotron-Labs-TwoTower-30B-A3B-Base-BF16
provider
nvidia
license
other
language
en, es, fr, de, ja, it, pt, zh, ar, da, ko, nl
context
—
library
transformers
vRAM (GB)
—
size on disk
—
downloads
4,375
likes
136
created
—
last modified
2026-07-01T00:34:48+00:00 (2026)
huggingface
https://huggingface.co/nvidia/Nemotron-Labs-TwoTower-30B-A3B-Base-BF16
tags
transformerssafetensorsnvidiapytorchtwo-towerdiffusionmambatext-generationenesfrdejaitptzhardakonlplrusvth

Benchmark scores (11)

benchmarkcategoryscorecontextconfevidence
QuALITYknowledge100.0Quality retained (% of AR baseline)medium| Quality retained (% of AR baseline) | 100% | **98.7%** |
GSM8Kmath92.49GSM8K (8-shot, acc)medium| GSM8K (8-shot, acc) | 92.49 | 90.14 |
ARC-Challengeknowledge91.72ARC-Challenge (25-shot, acc_norm)medium| ARC-Challenge (25-shot, acc_norm) | 91.72 | 92.66 |
MATH-500math84.4MATH-500 (4-shot)medium| MATH-500 (4-shot) | 84.40 | 80.60 |
MGSMmath80.8MGSM (8-shot, avg acc)medium| MGSM (8-shot, avg acc) | 80.80 | 80.40 |
HumanEvalcoding79.27HumanEval (0-shot)medium| HumanEval (0-shot) | 79.27 | 75.58 |
MMLUknowledge78.56MMLU (5-shot, acc)medium| MMLU (5-shot, acc) | 78.56 | 78.24 |
WinoGrandeknowledge76.09WinoGrande (5-shot, acc)medium| WinoGrande (5-shot, acc) | 76.09 | 76.09 |
MBPPcoding74.71MBPP-Sanitized (3-shot)medium| MBPP-Sanitized (3-shot) | 74.71 | 74.28 |
MMLUknowledge73.97MMLU Global Lite (5-shot, avg acc)medium| MMLU Global Lite (5-shot, avg acc) | 73.97 | 73.94 |
MMLU-Proknowledge62.59MMLU-Pro (5-shot, CoT EM)medium| MMLU-Pro (5-shot, CoT EM) | 62.59 | 60.93 |

Discussions (0)

none scraped.

Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.