Llama3 2x8b MoE 41K Experiment1 by nisten

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Llama3 2x8b MoE 41K Experiment1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama3 2x8b MoE 41K Experiment1 Parameters and Internals

LLM NameLlama3 2x8b MoE 41K Experiment1
Repository ๐Ÿค—https://huggingface.co/nisten/llama3-2x8b-MoE-41k-experiment1 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size13.7b
Required VRAM27.3 GB
Updated2024-10-18
Maintainernisten
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   2.5 GB: 6-of-6
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Llama3 2x8b MoE 41K Experiment1 (nisten/llama3-2x8b-MoE-41k-experiment1)

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Inixion 2x8B V28K / 27.4 GB42
MoE Llama3 8bx2 Rag8K / 27.3 GB50
Inixion 2x8B8K / 27.5 GB71
Llama 3 Chatty 2x8B8K / 27.3 GB1111
FinalFintetuning XVIII 2x8B8K / 27.5 GB142
Llama 3 Teal Instruct 2x8B MoE8K / 27.3 GB71
Llama 3 8Bx2 MoE DPO8K / 27.4 GB51
Note: green Score (e.g. "73.2") means that the model is better than nisten/llama3-2x8b-MoE-41k-experiment1.

Rank the Llama3 2x8b MoE 41K Experiment1 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