Internlm2 Chat 7B Sft by internlm

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  Arxiv:2403.17297   Autotrain compatible   Conversational   Custom code   Internlm2   Region:us   Safetensors   Sharded   Tensorflow

Internlm2 Chat 7B Sft Benchmarks

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 Sft (internlm/internlm2-chat-7b-sft)

Internlm2 Chat 7B Sft Parameters and Internals

Model Type 
text generation, chatbot
Use Cases 
Areas:
academic research, commercial applications
Applications:
text generation, chat systems, data analysis
Primary Use Cases:
instruction following, creative writing, code interpretation
Limitations:
may generate biased or harmful content
Considerations:
The model may generate unexpected outputs due to its size and probabilistic nature, necessitating user caution.
Additional Notes 
The model weights are fully open for academic research and allow free commercial use with a license application.
Supported Languages 
languages_sup ()
Training Details 
Methodology:
Supervised Fine Tuning (SFT) with Online RLHF
Context Length:
200000
Input Output 
Accepted Modalities:
text
Release Notes 
Version:
2.0
Date:
2024
Notes:
Release of InternLM2 with enhanced performance metrics and expanded context length support.
LLM NameInternlm2 Chat 7B Sft
Repository ๐Ÿค—https://huggingface.co/internlm/internlm2-chat-7b-sft 
Model Size7b
Required VRAM15.4 GB
Updated2025-02-22
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-sft.

Rank the Internlm2 Chat 7B Sft 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 v20241227