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Multi Verse Model by MTSAIR

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  Autotrain compatible   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Multi Verse Model Benchmarks

ARC: 72.87-24.3%
HellaSwag: 89.2-6.4%
MMLU: 64.4-25.5%
TruthfulQA: 77.9232.1%
WinoGrande: 84.77-3.1%
GSM8K: 71.27-22.5%
nn.n% — How the model compares to the GPT-4.

Multi Verse Model Parameters and Internals

LLM NameMulti Verse Model
RepositoryOpen on 🤗 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-07-27
MaintainerMTSAIR
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Multi Verse Model (MTSAIR/multi_verse_model)

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... Alpha Instruction Tuned SLERP0.332K / 14.5 GB19160
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...stral 1 From Mixtral 8x7B V0.10.332K / 14.4 GB2611
Note: green Score (e.g. "73.2") means that the model is better than MTSAIR/multi_verse_model.

Rank the Multi Verse Model Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v2024072501
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