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Nemotron 3 Super 64B A12B Math REAP BF16 by Max-and-Omnis

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Nemotron 3 Super 64B A12B Math REAP BF16 is an open-source language model by Max-and-Omnis. Features: 120b LLM, VRAM: 128.6GB, Context: 256K, License: other, LLM Explorer Score: 0.34.

  Arxiv:2512.20856   Aime   Aimo Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot...   Conversational   Custom code Dataset:nguyen599/astralmath-v...   Endpoints compatible   Finetuned   Latent-moe   Mamba2   Math   Nemotron-3   Nemotron h   Nvidia   Pruned   Python   Pytorch   Reap   Region:us   Safetensors   Sharded   Tensorflow   Tool-integrated reasoning
Model Card on HF 🤗: https://huggingface.co/Max-and-Omnis/Nemotron-3-Super-64B-A12B-Math-REAP-BF16 

Nemotron 3 Super 64B A12B Math REAP BF16 Benchmarks

LLME Score: 0.33556
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nemotron 3 Super 64B A12B Math REAP BF16 (Max-and-Omnis/Nemotron-3-Super-64B-A12B-Math-REAP-BF16)
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Nemotron 3 Super 64B A12B Math REAP BF16 Parameters and Internals

LLM NameNemotron 3 Super 64B A12B Math REAP BF16
Repository 🤗https://huggingface.co/Max-and-Omnis/Nemotron-3-Super-64B-A12B-Math-REAP-BF16 
Base Model(s)  ...emotron 3 Super 120B A12B BF16   nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16
Model Size120b
Required VRAM128.6 GB
Updated2026-04-24
MaintainerMax-and-Omnis
Model Typenemotron_h
Model Files  5.0 GB: 1-of-26   5.0 GB: 2-of-26   5.0 GB: 3-of-26   5.0 GB: 4-of-26   5.0 GB: 5-of-26   5.0 GB: 6-of-26   5.0 GB: 7-of-26   5.0 GB: 8-of-26   5.0 GB: 9-of-26   5.0 GB: 10-of-26   5.0 GB: 11-of-26   5.0 GB: 12-of-26   5.0 GB: 13-of-26   5.0 GB: 14-of-26   4.9 GB: 15-of-26   5.0 GB: 16-of-26   5.0 GB: 17-of-26   5.0 GB: 18-of-26   5.0 GB: 19-of-26   5.0 GB: 20-of-26   5.0 GB: 21-of-26   5.0 GB: 22-of-26   5.0 GB: 23-of-26   5.0 GB: 24-of-26   5.0 GB: 25-of-26   3.7 GB: 26-of-26
Model ArchitectureNemotronHForCausalLM
Licenseother
Context Length262144
Model Max Length262144
Transformers Version5.5.4
Padding Token<|im_end|>
Vocabulary Size131072

Best Alternatives to Nemotron 3 Super 64B A12B Math REAP BF16

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Context / RAM
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Likes
...on 3 Super 120B A12B Base BF161024K / 209.5 GB1661627
...motron 3 Super 120B A12B NVFP4256K / 80.3 GB1574893266
...Nemotron 3 Super 120B A12B FP8256K / 128.4 GB51379
...Nemotron 3 Super 120B A12B FP8256K / 128.4 GB579637234
...emotron 3 Super 120B A12B BF16256K / 194.6 GB163028310
...DIA Nemotron 3 Super 120B A12B256K / 214.5 GB4512
...motron 3 Super 120B A12B NVFP4256K / 80.3 GB4608222
...uper 120B A12B BF16 Heretic V2256K / 241.4 GB9591
...20B A12B BF16 REAP 50pct Draft256K / 128.5 GB2046
Note: green Score (e.g. "73.2") means that the model is better than Max-and-Omnis/Nemotron-3-Super-64B-A12B-Math-REAP-BF16.

Rank the Nemotron 3 Super 64B A12B Math REAP BF16 Capabilities

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