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Llama 3 3x8B Multilingual by Souvik3333

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  Merged Model   Autotrain compatible   Conversational   De   En   Endpoints compatible   Instruct   Ja   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/Souvik3333/Llama-3-3x8B-multilingual 

Llama 3 3x8B Multilingual Benchmarks

LLME Score: 0.19161
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 3x8B Multilingual (Souvik3333/Llama-3-3x8B-multilingual)

Llama 3 3x8B Multilingual Parameters and Internals

Additional Notes 
This model is a mixture of experts merge from three models: namespace-Pt/Llama-3-8B-Instruct-80K-QLoRA-Merged, meta-llama/Meta-Llama-3-8B-Instruct, lightblue/suzume-llama-3-8B-multilingual.
Supported Languages 
en (English), ja (Japanese), de (German), zh (Chinese)
Training Details 
Context Length:
80000
LLM NameLlama 3 3x8B Multilingual
Repository 🤗https://huggingface.co/Souvik3333/Llama-3-3x8B-multilingual 
Merged ModelYes
Model Size19.3b
Required VRAM38.5 GB
Updated2025-02-22
MaintainerSouvik3333
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-8   4.9 GB: 2-of-8   5.0 GB: 3-of-8   4.9 GB: 4-of-8   4.9 GB: 5-of-8   5.0 GB: 6-of-8   4.9 GB: 7-of-8   4.0 GB: 8-of-8
Supported Languagesen ja de zh
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length81920
Model Max Length81920
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Souvik3333/Llama-3-3x8B-multilingual.

Rank the Llama 3 3x8B Multilingual 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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Release v20241227
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