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 Parameters and Internals

LLM NameLlama 3 ELYZA Hermes 2x8B
Repository ๐Ÿค—https://huggingface.co/keitokei1994/Llama-3-ELYZA-hermes-2x8B 
Model Size13.7b
Required VRAM27.4 GB
Updated2024-09-07
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
Llama 3 ELYZA Hermes 2x8B (keitokei1994/Llama-3-ELYZA-hermes-2x8B)

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Note: green Score (e.g. "73.2") means that the model is better than keitokei1994/Llama-3-ELYZA-hermes-2x8B.

Rank the Llama 3 ELYZA Hermes 2x8B 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 v2024072803