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Internlm2 20B by internlm

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Internlm2 20B is an open-source language model by internlm. Features: 20b LLM, VRAM: 39.7GB, Context: 32K, License: other, LLM Explorer Score: 0.17, Arc: 63, HellaSwag: 83.2, MMLU: 67.6, GSM8K: 67.9.

  Arxiv:2403.17297   Custom code   Internlm2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/internlm/internlm2-20b 

Internlm2 20B Benchmarks

ARC: 62.97 vs 96.7 (so35)-34.9%
HellaSwag: 83.21 vs 95.3 (gpt4)-12.7%
MMLU: 67.58 vs 88.3 (so35)-23.5%
GSM8K: 67.93 vs 96.4 (so35)-29.5%
LLME Score: 0.17082
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 20B (internlm/internlm2-20b)
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Internlm2 20B Parameters and Internals

Model Type 
text generation, AI assistant
Use Cases 
Areas:
research, commercial applications
Applications:
general text generation, chat applications, long-text processing
Primary Use Cases:
instruction adherence, empathetic chatting, tool invocation
Limitations:
Potential biases, may produce harmful content
Considerations:
Ethical considerations must guide deployment, especially for chat or interactive applications.
Supported Languages 
English (high), Chinese (high)
Training Details 
Data Sources:
domain-specific corpus
Methodology:
RLHF (Reinforcement Learning from Human Feedback)
Context Length:
200000
Model Architecture:
Transformer-based
Safety Evaluation 
Ethical Considerations:
Model may produce unexpected outputs including biases or discrimination.
Responsible Ai Considerations 
Transparency:
Results based on probabilistic model outputs.
Accountability:
Users are responsible for usage consequences.
Mitigation Strategies:
Safety features encouraged, but not guaranteed to prevent all adverse outputs.
Input Output 
Input Format:
Text input; maximum context length of 200,000 characters.
Accepted Modalities:
text
Output Format:
Text output
Performance Tips:
Using float16 precision on a capable GPU recommended to avoid out-of-memory issues.
LLM NameInternlm2 20B
Repository 🤗https://huggingface.co/internlm/internlm2-20b 
Model Size20b
Required VRAM39.7 GB
Updated2026-04-23
Maintainerinternlm
Model Typeinternlm2
Model Files  9.9 GB: 1-of-4   10.0 GB: 2-of-4   9.9 GB: 3-of-4   9.9 GB: 4-of-4
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/internlm2-20b.

Rank the Internlm2 20B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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