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MoNeuTrix 7B V1 by CultriX

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  Merged Model   Autotrain compatible Base model:eren23/ogno-monarch... Base model:kukedlc/neuralmaxim...   Base model:mlabonne/monarch-7b   Endpoints compatible Eren23/ogno-monarch-jaskier-me...   Kukedlc/neuralmaxime-7b-slerp   Mistral   Mlabonne/monarch-7b   Region:us   Safetensors   Sharded   Tensorflow

MoNeuTrix 7B V1 Benchmarks

ARC: 72.87 vs 96.7 (so35)-24.6%
HellaSwag: 88.98 vs 95.3 (gpt4)-6.6%
MMLU: 64.65 vs 88.3 (so35)-26.8%
TruthfulQA: 77.18 vs 59 (gpt4)30.8%
WinoGrande: 84.37 vs 87.5 (gpt4)-3.6%
GSM8K: 67.17 vs 96.4 (so35)-30.3%
LLME Score: 0.19792
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MoNeuTrix 7B V1 Parameters and Internals

LLM NameMoNeuTrix 7B V1
Repository 🤗https://huggingface.co/CultriX/MoNeuTrix-7B-v1 
Base Model(s)  NeuralMaxime 7B Slerp   Monarch 7B   Ogno Monarch Jaskier Merge 7B   Kukedlc/NeuralMaxime-7B-slerp   mlabonne/Monarch-7B   eren23/ogno-monarch-jaskier-merge-7b
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-10-18
MaintainerCultriX
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
MoNeuTrix 7B V1 (CultriX/MoNeuTrix-7B-v1)

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Note: green Score (e.g. "73.2") means that the model is better than CultriX/MoNeuTrix-7B-v1.

Rank the MoNeuTrix 7B V1 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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Release v2024072803
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