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Yi Ko 6B DPO V2 by We-Want-GPU

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Rank the Yi Ko 6B DPO V2 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  
Yi Ko 6B DPO V2 (We-Want-GPU/Yi-Ko-6B-DPO-v2)

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Note: green Score (e.g. "73.2") means that the model is better than We-Want-GPU/Yi-Ko-6B-DPO-v2.

Yi Ko 6B DPO V2 Parameters and Internals

LLM NameYi Ko 6B DPO V2
RepositoryOpen on ๐Ÿค— 
Model Size6b
Required VRAM12.4 GB
Updated2024-02-21
MaintainerWe-Want-GPU
Model Typellama
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   2.5 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size78464
LoRA ModelYes
Initializer Range0.02
Torch Data Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003