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OpenMath2 Llama3.1 70B by nvidia

 »  All LLMs  »  nvidia  »  OpenMath2 Llama3.1 70B   URL Share it on

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  Arxiv:2410.01560   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational Dataset:nvidia/openmathinstruc...   En   Endpoints compatible   Llama   Math   Nvidia   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/OpenMath2-Llama3.1-70B 

OpenMath2 Llama3.1 70B Benchmarks

LLME Score: 0.23668
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenMath2 Llama3.1 70B (nvidia/OpenMath2-Llama3.1-70B)

OpenMath2 Llama3.1 70B Parameters and Internals

Model Type 
math
Use Cases 
Areas:
research, mathematics, education
Applications:
math problem-solving, quantitative analysis
Primary Use Cases:
Solving complex mathematical problems, Math instruction and tutoring
Limitations:
not tuned for general instruction
Considerations:
The model is optimized for mathematical problem solving and may not perform well outside this domain.
Additional Notes 
The model is specifically fine-tuned for mathematical instructions and may not generalize to other domains.
Supported Languages 
en (native)
Training Details 
Data Sources:
nvidia/OpenMathInstruct-2
Methodology:
Finetuning
Input Output 
Input Format:
Chat format with system/user/assistant tokens
Accepted Modalities:
text
Output Format:
Text with answer highlighted in \boxed{} format
Performance Tips:
Use recommended inference settings and prompt formats as detailed in the tutorial for best performance.
LLM NameOpenMath2 Llama3.1 70B
Repository 🤗https://huggingface.co/nvidia/OpenMath2-Llama3.1-70B 
Base Model(s)  meta-llama/Llama-3.1-70B   meta-llama/Llama-3.1-70B
Model Size70b
Required VRAM141.2 GB
Updated2025-03-22
Maintainernvidia
Model Typellama
Model Files  9.7 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.8 GB: 14-of-15   3.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the OpenMath2 Llama3.1 70B 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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