HyouKan 3x7B by Alsebay

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  Autotrain compatible Base model:macadeliccc/westlak... Base model:sanjiwatsuki/kunoic... Base model:sao10k/frostwind-v2...   Endpoints compatible   License:cc-by-nc-4.0   Merge   Mixtral   Moe   Region:us   Roleplay   Safetensors   Sharded   Tensorflow

Rank the HyouKan 3x7B 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  
HyouKan 3x7B (Alsebay/HyouKan-3x7B)

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HyouKan 3x7B Parameters and Internals

LLM NameHyouKan 3x7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Frostwind V2.1 M7   Kunoichi DPO V2 7B   ...estLake 7B V2 Laser Truthy DPO   Sao10K/Frostwind-v2.1-m7   SanjiWatsuki/Kunoichi-DPO-v2-7B   macadeliccc/WestLake-7B-v2-laser-truthy-dpo
Model Size18.5b
Required VRAM37.1 GB
Model Typemixtral
Model Files  1.9 GB: 1-of-19   2.0 GB: 2-of-19   2.0 GB: 3-of-19   2.0 GB: 4-of-19   2.0 GB: 5-of-19   2.0 GB: 6-of-19   2.0 GB: 7-of-19   2.0 GB: 8-of-19   2.0 GB: 9-of-19   2.0 GB: 10-of-19   2.0 GB: 11-of-19   2.0 GB: 12-of-19   2.0 GB: 13-of-19   2.0 GB: 14-of-19   2.0 GB: 15-of-19   2.0 GB: 16-of-19   2.0 GB: 17-of-19   2.0 GB: 18-of-19   1.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024040901