Llama 3 8B Instruct MoE 2 by VictorDCh

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B Instruct MoE 2 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 8B Instruct MoE 2 Parameters and Internals

LLM NameLlama 3 8B Instruct MoE 2
Repository ๐Ÿค—https://huggingface.co/VictorDCh/Llama-3-8B-Instruct-MoE-2 
Model Size24.9b
Required VRAM50 GB
Updated2024-09-07
MaintainerVictorDCh
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   10.0 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 8B Instruct MoE 2 (VictorDCh/Llama-3-8B-Instruct-MoE-2)

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Note: green Score (e.g. "73.2") means that the model is better than VictorDCh/Llama-3-8B-Instruct-MoE-2.

Rank the Llama 3 8B Instruct MoE 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 v2024072803