Youri 2x7b V0.2 by HachiML

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  Autotrain compatible   Endpoints compatible   Ja   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/HachiML/youri-2x7b_v0.2 

Youri 2x7b V0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Youri 2x7b V0.2 (HachiML/youri-2x7b_v0.2)
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Youri 2x7b V0.2 Parameters and Internals

Model Type 
Mixture of Experts (MoE), Text Generation, Instruction Following
Use Cases 
Areas:
Natural Language Processing
Applications:
Question Answering, Summarization, Text Classification, Translation
Primary Use Cases:
Multilingual Text Generation, Text-based Tasks, Instruction Following
Additional Notes 
The model effectively merges two 7b models using a Mixture of Experts approach, leveraging the unique strengths of instruction-following and chat-based inputs.
Supported Languages 
Japanese (high proficiency)
LLM NameYouri 2x7b V0.2
Repository ๐Ÿค—https://huggingface.co/HachiML/youri-2x7b_v0.2 
Model Size11.1b
Required VRAM22.1 GB
Updated2025-09-20
MaintainerHachiML
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   2.1 GB: 3-of-3
Supported Languagesja
Model ArchitectureMixtralForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than HachiML/youri-2x7b_v0.2.

Rank the Youri 2x7b V0.2 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