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Internlm2 Base 7B by internlm

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Internlm2 Base 7B is an open-source language model by internlm. Features: 7b LLM, VRAM: 15.5GB, Context: 32K, License: other, LLM Explorer Score: 0.17.

  Arxiv:2403.17297   Custom code   Internlm2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/internlm/internlm2-base-7b 

Internlm2 Base 7B Benchmarks

LLME Score: 0.1731
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 Base 7B (internlm/internlm2-base-7b)
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Internlm2 Base 7B Parameters and Internals

Model Type 
text-generation, multimodal
Additional Notes 
The InternLM2 models are suitable for various advanced text processing tasks, and improvements from previous versions are evident in several categories including long-context processing.
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Ensure model is executed on appropriate hardware with optimized parameters for best performance.
Release Notes 
Version:
InternLM2-Base
Date:
2024
Notes:
Initial release with internlm2 models showcasing enhanced capabilities and support for ultra-long contexts.
Version:
InternLM2-Chat
Date:
2024
Notes:
Enhanced chat functionalities with improved instruction adherence and conversational capabilities.
LLM NameInternlm2 Base 7B
Repository 🤗https://huggingface.co/internlm/internlm2-base-7b 
Model Size7b
Required VRAM15.5 GB
Updated2026-03-04
Maintainerinternlm
Model Typeinternlm2
Model Files  10.0 GB: 1-of-2   5.5 GB: 2-of-2
Model ArchitectureInternLM2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.41.0
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-base-7b.

Rank the Internlm2 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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