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OpenMath Mistral 7B V0.1 Hf by nvidia

 »  All LLMs  »  nvidia  »  OpenMath Mistral 7B V0.1 Hf   URL Share it on

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  Arxiv:2402.10176   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Code Dataset:nvidia/openmathinstruc...   En   Endpoints compatible   Math   Mistral   Nvidia   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1-hf 

OpenMath Mistral 7B V0.1 Hf Benchmarks

ARC: 59.39 vs 96.7 (so35)-38.6%
HellaSwag: 81.78 vs 95.3 (gpt4)-14.2%
MMLU: 59.34 vs 88.3 (so35)-32.8%
TruthfulQA: 46.13 vs 59 (gpt4)-21.8%
WinoGrande: 77.27 vs 87.5 (gpt4)-11.7%
GSM8K: 0.08 vs 96.4 (so35)-99.9%
LLME Score: 0.16712
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenMath Mistral 7B V0.1 Hf (nvidia/OpenMath-Mistral-7B-v0.1-hf)
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OpenMath Mistral 7B V0.1 Hf Parameters and Internals

Model Type 
math reasoning, text-based reasoning, code execution
Use Cases 
Areas:
research, commercial applications
Applications:
solving mathematical problems
Primary Use Cases:
mathematical problem-solving using integrated text and code reasoning
Additional Notes 
The pipeline for producing these models is fully open-sourced. The model is designed to integrate text-based reasoning with code blocks executed by a Python interpreter for solving mathematical problems.
Supported Languages 
en (advanced)
Training Details 
Data Sources:
nvidia/OpenMathInstruct-1
Data Volume:
1.8M problem-solution pairs
Methodology:
Integrated text-based reasoning with code execution by Python interpreter
LLM NameOpenMath Mistral 7B V0.1 Hf
Repository 🤗https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1-hf 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainernvidia
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nvidia/OpenMath-Mistral-7B-v0.1-hf.

Rank the OpenMath Mistral 7B V0.1 Hf Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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