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Internlm2 Math 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-7b 

Internlm2 Math 7B Benchmarks

LLME Score: 0.17123
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 Math 7B (internlm/internlm2-math-7b)

Internlm2 Math 7B Parameters and Internals

Model Type 
math reasoning, text generation
Use Cases 
Areas:
Bilingual Math, Math reasoning, Verification
Applications:
Math problem solving, Math theorem proving, Mathematical chain-of-thought verification, Lean code use
Primary Use Cases:
Math problem solving and theorem proving, Generating Lean code for simple reasoning tasks, Outcome, process, and Lean reward modeling
Limitations:
Jumping calculation steps, Performance variance in some contexts, Tendency to generate code for Chinese problems, Some Lean capabilities limited to GSM8K-like problems
Additional Notes 
The model integrates Lean language support, leveraging it for GSM8K and similar reasoning tests.
Supported Languages 
en (high), zh (high)
Training Details 
Data Sources:
InternLM2-Base, ~100B Math-related tokens, ~2M bilingual supervised data
Data Volume:
100 billion tokens
Methodology:
Continued pretraining and fine-tuning with specialized techniques such as minhash and exact number match to decontaminate possible test set leakage
Input Output 
Input Format:
Text input expected
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use prompt instructions correctly for optimal results.
Release Notes 
Version:
InternLM2-Math-Base-7B
Date:
2024-01-23
Notes:
Pretrained checkpoint release.
Version:
InternLM2-Math-7B
Date:
2024-01-23
Notes:
SFT checkpoint release.
LLM NameInternlm2 Math 7B
Repository 🤗https://huggingface.co/internlm/internlm2-math-7b 
Model Size7b
Required VRAM15.4 GB
Updated2025-02-05
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-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  
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Release v20241227
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