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Spydaz Web AI MistralStar 001 Project by LeroyDyer

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Spydaz Web AI MistralStar 001 Project Benchmarks

LLME Score: 0.22717
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Spydaz Web AI MistralStar 001 Project Parameters and Internals

LLM Name Spydaz Web AI MistralStar 001 Project
Repository 🤗https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_MistralStar_001_Project 
Model Size7.3b
Required VRAM14.5 GB
Updated2024-10-18
MaintainerLeroyDyer
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3
Supported Languagesen sw ig zu ca es pt ha
Model ArchitectureAutoModelForCausalLM
Licensemit
Model Max Length32768
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Spydaz Web AI MistralStar 001 Project (LeroyDyer/_Spydaz_Web_AI_MistralStar_001_Project)

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Spydaz Web AI MistralStar V20K / 14.5 GB11
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_MistralStar_001_Project.

Rank the Spydaz Web AI MistralStar 001 Project 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
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