Llama 3 ELYZA Hermes 2x8B by keitokei1994

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  Autotrain compatible   Conversational   En   Endpoints compatible   Ja   Japanese   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 ELYZA Hermes 2x8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 ELYZA Hermes 2x8B (keitokei1994/Llama-3-ELYZA-hermes-2x8B)

Llama 3 ELYZA Hermes 2x8B Parameters and Internals

Model Type 
Mixture of Experts, Language Model
Additional Notes 
Model was developed and tested using WSL2 and Google Colaboratory Pro, and verified using Llama.cpp and LMstudio.
Supported Languages 
ja (Japanese), en (English)
LLM NameLlama 3 ELYZA Hermes 2x8B
Repository ๐Ÿค—https://huggingface.co/keitokei1994/Llama-3-ELYZA-hermes-2x8B 
Model Size13.7b
Required VRAM27.4 GB
Updated2025-02-22
Maintainerkeitokei1994
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   7.4 GB: 3-of-3
Supported Languagesja en
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
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 keitokei1994/Llama-3-ELYZA-hermes-2x8B.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227