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MonaTrix V4 by CultriX

 »  All LLMs  »  CultriX  »  MonaTrix V4   URL Share it on

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

MonaTrix V4 Benchmarks

ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 89.11 vs 95.3 (gpt4)-6.5%
MMLU: 64.08 vs 88.3 (so35)-27.4%
TruthfulQA: 78.02 vs 59 (gpt4)32.2%
WinoGrande: 84.85 vs 87.5 (gpt4)-3%
GSM8K: 68.84 vs 96.4 (so35)-28.6%
LLME Score: 0.19507
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MonaTrix V4 Parameters and Internals

LLM NameMonaTrix V4
Repository 🤗https://huggingface.co/CultriX/MonaTrix-v4 
Base Model(s)  NeuralMaxime 7B Slerp   Ogno Monarch Jaskier Merge 7B   DPO Binarized NeutrixOmnibe 7B   Kukedlc/NeuralMaxime-7B-slerp   eren23/ogno-monarch-jaskier-merge-7b   eren23/dpo-binarized-NeutrixOmnibe-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-10-16
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 Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
MonaTrix V4 (CultriX/MonaTrix-v4)

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Note: green Score (e.g. "73.2") means that the model is better than CultriX/MonaTrix-v4.

Rank the MonaTrix V4 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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Release v2024072803
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