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Internlm2 Chat 7B by internlm

 »  All LLMs  »  internlm  »  Internlm2 Chat 7B   URL Share it on

  16369   
  Arxiv:2403.17297   Autotrain compatible   Conversational   Custom code   Internlm2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/internlm/internlm2-chat-7b 

Internlm2 Chat 7B Benchmarks

LLME Score: 0.23625
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 Chat 7B (internlm/internlm2-chat-7b)

Internlm2 Chat 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
text generation
Limitations:
The model may produce unexpected outputs such as biased, discriminatory, or harmful content.
Additional Notes 
Model can handle 200K context window, excelling in long-context tasks.
Training Details 
Context Length:
200000
Safety Evaluation 
Ethical Considerations:
Although efforts were made to ensure safety, the model may produce unexpected outputs due to its size and probabilistic generation paradigm, potentially including biased, discriminatory, or harmful content.
Input Output 
Input Format:
text prompt
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Use LMDeploy for better long-context inference and resource efficiency.
LLM NameInternlm2 Chat 7B
Repository 🤗https://huggingface.co/internlm/internlm2-chat-7b 
Model Size7b
Required VRAM15.4 GB
Updated2024-12-26
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
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-chat-7b.

Rank the Internlm2 Chat 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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