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MathGenie InterLM 20B by MathGenie

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MathGenie InterLM 20B is an open-source language model by MathGenie. Features: 20b LLM, VRAM: 39.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11.

  Arxiv:2402.16352   Code   Custom code   En   Feature-extraction   Internlm2   Math   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MathGenie/MathGenie-InterLM-20B 

MathGenie InterLM 20B Benchmarks

LLME Score: 0.11391
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MathGenie InterLM 20B (MathGenie/MathGenie-InterLM-20B)

MathGenie InterLM 20B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, education
Applications:
mathematical reasoning, academic study
Primary Use Cases:
Generates synthetic math problems, Enhances mathematical reasoning
Additional Notes 
MathGenie utilizes a back-translation method to enhance mathematical reasoning capabilities through synthetic data generation.
Supported Languages 
en (High)
Release Notes 
Date:
2024-02-26
Notes:
Paper accessible on ArXiv.
LLM NameMathGenie InterLM 20B
Repository 🤗https://huggingface.co/MathGenie/MathGenie-InterLM-20B 
Model Size20b
Required VRAM39.8 GB
Updated2026-07-18
MaintainerMathGenie
Model Typeinternlm2
Model Files  4.8 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   4.1 GB: 8-of-9   1.1 GB: 9-of-9
Supported Languagesen
Model ArchitectureInternLM2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Is Biased0
Tokenizer ClassInternLM2Tokenizer
Padding Token</s>
Vocabulary Size92672
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than MathGenie/MathGenie-InterLM-20B.

Rank the MathGenie InterLM 20B 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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