Internlm2 Math Plus 20B by internlm

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Internlm2 Math Plus 20B is an open-source language model by internlm. Features: 20b LLM, VRAM: 39.7GB, Context: 8K, License: other, LLM Explorer Score: 0.13.

  Arxiv:2402.06332   Conversational   Custom code   En   Internlm2   Math   Region:us   Safetensors   Sharded   Tensorflow   Zh

Internlm2 Math Plus 20B Benchmarks

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

Internlm2 Math Plus 20B Parameters and Internals

Model Type 
text generation, math reasoning
Supported Languages 
en (bilingual), zh (bilingual)
Release Notes 
Version:
2024.05.24
Date:
2024-05-24
Notes:
Release of InternLM2-Math-Plus with improved performance in math reasoning.
Version:
2024.02.10
Date:
2024-02-10
Notes:
Added tech reports and citation reference.
Version:
2024.01.31
Date:
2024-01-31
Notes:
Added MiniF2F results with evaluation codes.
Version:
2024.01.29
Date:
2024-01-29
Notes:
Added checkpoints from ModelScope. Updated results about majority voting and Code Interpreter.
Version:
2024.01.26
Date:
2024-01-26
Notes:
Added checkpoints from OpenXLab for easier access by Chinese users.
LLM NameInternlm2 Math Plus 20B
Repository 🤗https://huggingface.co/internlm/internlm2-math-plus-20b 
Model Size20b
Required VRAM39.7 GB
Updated2026-04-13
Maintainerinternlm
Model Typeinternlm2
Model Files  3.9 GB: 1-of-11   3.9 GB: 2-of-11   3.9 GB: 3-of-11   3.9 GB: 4-of-11   3.9 GB: 5-of-11   3.9 GB: 6-of-11   3.9 GB: 7-of-11   3.9 GB: 8-of-11   3.9 GB: 9-of-11   3.5 GB: 10-of-11   1.1 GB: 11-of-11
Supported Languagesen zh
Model ArchitectureInternLM2ForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.2
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-plus-20b.

Rank the Internlm2 Math Plus 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  
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Release v20260328a