Nanbeige2 16B Chat by duoqi

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  Autotrain compatible   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Zh

Nanbeige2 16B Chat Benchmarks

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Nanbeige2 16B Chat Parameters and Internals

Model Type 
text generation
Additional Notes 
The model underwent initial training with 1 million samples through Supervised Fine-Tuning and subsequent curriculum learning on 400,000 challenging samples, with human feedback integrated through Direct Preference Optimization (DPO).
Supported Languages 
en (fluent), zh (fluent)
Training Details 
Data Sources:
4.5T tokens of high-quality training data
Data Volume:
4.5 trillion tokens
Methodology:
Supervised Fine-Tuning (SFT), Curriculum Learning, Direct Preference Optimization (DPO)
LLM NameNanbeige2 16B Chat
Repository ๐Ÿค—https://huggingface.co/duoqi/Nanbeige2-16B-Chat 
Model Size16b
Required VRAM31.6 GB
Updated2024-12-02
Maintainerduoqi
Model Typellama
Model Files  4.9 GB: 1-of-7   4.9 GB: 2-of-7   4.9 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   4.9 GB: 6-of-7   2.0 GB: 7-of-7
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size59392
Torch Data Typebfloat16
Nanbeige2 16B Chat (duoqi/Nanbeige2-16B-Chat)

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Rank the Nanbeige2 16B Chat 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 v20241124