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Llama Salad 4x8B V3 by HiroseKoichi

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Llama Salad 4x8B V3 Benchmarks

MMLU Pro: 27.98
GPQA: 7.05
MUSR: 6.45
BBH: 31.93
IFEval: 66.54 vs 88 (so35)-24.4%
MATH Lvl 5: 8.53
LLME Score: 0.31138
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama Salad 4x8B V3 Parameters and Internals

LLM NameLlama Salad 4x8B V3
Repository 🤗https://huggingface.co/HiroseKoichi/Llama-Salad-4x8B-V3 
Model Size24.9b
Required VRAM50.1 GB
Updated2024-09-16
MaintainerHiroseKoichi
Model Typemixtral
Model Files  4.9 GB: 1-of-11   5.0 GB: 2-of-11   4.9 GB: 3-of-11   5.0 GB: 4-of-11   5.0 GB: 5-of-11   4.9 GB: 6-of-11   5.0 GB: 7-of-11   5.0 GB: 8-of-11   4.9 GB: 9-of-11   4.4 GB: 10-of-11   1.1 GB: 11-of-11
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama Salad 4x8B V3 (HiroseKoichi/Llama-Salad-4x8B-V3)

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Note: green Score (e.g. "73.2") means that the model is better than HiroseKoichi/Llama-Salad-4x8B-V3.

Rank the Llama Salad 4x8B V3 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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