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NuminaMath 72B CoT by AI-MO

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NuminaMath 72B CoT is an open-source language model by AI-MO. Features: 72b LLM, VRAM: 146GB, Context: 128K, License: other, LLM Explorer Score: 0.14.

  Aimo Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-72b   Conversational   Dataset:ai-mo/numinamath-cot   En   Endpoints compatible   Math   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AI-MO/NuminaMath-72B-CoT 

NuminaMath 72B CoT Benchmarks

LLME Score: 0.14314
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NuminaMath 72B CoT (AI-MO/NuminaMath-72B-CoT)
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NuminaMath 72B CoT Parameters and Internals

LLM NameNuminaMath 72B CoT
Repository 🤗https://huggingface.co/AI-MO/NuminaMath-72B-CoT 
Base Model(s)  Qwen2 72B   Qwen/Qwen2-72B
Model Size72b
Required VRAM146 GB
Updated2026-04-29
MaintainerAI-MO
Model Typeqwen2
Model Files  4.5 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Vocabulary Size152064
Torch Data Typebfloat16

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Homer V1.0 Qwen2.5 72B128K / 146.1 GB236
Ultiima 72B V1.5128K / 146.1 GB140
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EVA Qwen2.5 72B V0.2128K / 146 GB7622
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB51
Dolphin 2.9.2 Qwen2 72B128K / 146 GB1515162
Note: green Score (e.g. "73.2") means that the model is better than AI-MO/NuminaMath-72B-CoT.

Rank the NuminaMath 72B CoT Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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