MathCoder2 Mistral 7B by MathGenie

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  Arxiv:2410.08196 Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Dataset:mathgenie/mathcode-pil...   En   Math   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MathCoder2 Mistral 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MathCoder2 Mistral 7B (MathGenie/MathCoder2-Mistral-7B)

MathCoder2 Mistral 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Additional Notes 
Models are created by conducting continued pretraining on MathCode-Pile, a superior resource for advanced mathematical reasoning tasks.
Supported Languages 
en (Unknown)
Training Details 
Data Sources:
MathGenie/MathCode-Pile
Methodology:
Continued pretraining on Model-translated Mathematical Code
LLM NameMathCoder2 Mistral 7B
Repository ๐Ÿค—https://huggingface.co/MathGenie/MathCoder2-Mistral-7B 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerMathGenie
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than MathGenie/MathCoder2-Mistral-7B.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227