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Internlm2 Math Base 7B by internlm

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  Autotrain compatible   Conversational   Custom code   En   Internlm2   Math   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/internlm/internlm2-math-base-7b 

Internlm2 Math Base 7B Benchmarks

LLME Score: 0.13687
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 Math Base 7B (internlm/internlm2-math-base-7b)
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Internlm2 Math Base 7B Parameters and Internals

Model Type 
Mathematics, Text Generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Math reasoning, Theorem proving
Primary Use Cases:
Solver, Prover, Verifier, Augmentor, Reward Model
Limitations:
May perform poorly at Chinese fill-in-the-blank problems, Tendency for code switching and generating code interpreter results for Chinese problems
Additional Notes 
Model develops reward model capabilities and can convert solutions into Lean 3 code.
Supported Languages 
en (bilingual), zh (bilingual)
Training Details 
Data Sources:
~100B high quality math-related tokens, ~2M bilingual math supervised data
Data Volume:
~100B tokens
Methodology:
continued pretraining from InternLM2-Base with SFT
Model Architecture:
Supports Lean for math problem solving and theorem proving
Release Notes 
Version:
InternLM2-Math-Base-7B
Date:
2024-01-23
Notes:
Version:
InternLM2-Math-Base-20B
Date:
2024-01-23
Notes:
Version:
InternLM2-Math-7B
Date:
2024-01-23
Notes:
Version:
InternLM2-Math-20B
Date:
2024-01-23
Notes:
LLM NameInternlm2 Math Base 7B
Repository 🤗https://huggingface.co/internlm/internlm2-math-base-7b 
Model Size7b
Required VRAM15.4 GB
Updated2025-09-14
Maintainerinternlm
Model Typeinternlm2
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   1.8 GB: 8-of-8
Supported Languagesen zh
Model ArchitectureInternLM2ForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Is Biased0
Tokenizer ClassInternLM2Tokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than internlm/internlm2-math-base-7b.

Rank the Internlm2 Math Base 7B 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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Release v20241124
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