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AceMath 72B Instruct by nvidia

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  Arxiv:2412.15084   Acemath   Conversational   Cot   En   Instruct   Math   Nvidia   Pytorch   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/AceMath-72B-Instruct 

AceMath 72B Instruct Benchmarks

MMLU Pro: 37.9
GPQA: 2.8
MUSR: 9.6
BBH: 48.69
IFEval: 49.5 vs 88 (so35)-43.8%
MATH Lvl 5: 71.45
LLME Score: 0.3825
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AceMath 72B Instruct (nvidia/AceMath-72B-Instruct)

AceMath 72B Instruct Parameters and Internals

LLM NameAceMath 72B Instruct
Repository 🤗https://huggingface.co/nvidia/AceMath-72B-Instruct 
Model Size72b
Required VRAM146 GB
Updated2025-05-15
Maintainernvidia
Model Typeqwen2
Instruction-BasedYes
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   9.6 GB: 3-of-15   9.8 GB: 4-of-15   9.6 GB: 5-of-15   9.8 GB: 6-of-15   9.6 GB: 7-of-15   9.8 GB: 8-of-15   9.6 GB: 9-of-15   9.8 GB: 10-of-15   9.6 GB: 11-of-15   9.8 GB: 12-of-15   9.6 GB: 13-of-15   9.8 GB: 14-of-15   10.0 GB: 15-of-15
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nvidia/AceMath-72B-Instruct.

Rank the AceMath 72B Instruct Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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