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AceInstruct 72B by nvidia

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  Arxiv:2412.15084   Aceinstruct   Code   Conversational   En   General domain   Instruct   Instruct model   Math   Nvidia   Pytorch   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/AceInstruct-72B 

AceInstruct 72B Benchmarks

MMLU Pro: 43.04
GPQA: 9.51
MUSR: 11.88
BBH: 44.2
IFEval: 71.19 vs 88 (so35)-19.1%
MATH Lvl 5: 62.61
LLME Score: 0.38847
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AceInstruct 72B (nvidia/AceInstruct-72B)

AceInstruct 72B Parameters and Internals

LLM NameAceInstruct 72B
Repository 🤗https://huggingface.co/nvidia/AceInstruct-72B 
Model Size72b
Required VRAM146 GB
Updated2025-05-31
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 Length131072
Model Max Length131072
Transformers Version4.43.1
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/AceInstruct-72B.

Rank the AceInstruct 72B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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