Internlm2 20B by internlm

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  Arxiv:2403.17297   Autotrain compatible   Custom code   Internlm2   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/internlm/internlm2-20b 

Internlm2 20B Benchmarks

Internlm2 20B (internlm/internlm2-20b)

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 ๐Ÿค—https://huggingface.co/internlm/internlm2-20b 
Model Size20b
Required VRAM39.7 GB
Updated2025-01-16
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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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227