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Spydaz Web AI MistralStar 001 Project by LeroyDyer

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  Autotrain compatible   Biology   Ca   Chemistry   Climate   Code   Custom code   En   Endpoints compatible   Es   Ha   Ig   Legal   Medical   Mistral   Mistral quiet   Mistral star   Mixtral   Pt   Question-answer   Region:us   Safetensors   Sequence-classification   Sharded   Spydazweb-ai   Sw   Tensorflow   Token-classification   Zu

Spydaz Web AI MistralStar 001 Project Benchmarks

LLME Score: 0.22153
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

Model Type 
text-generation-inference
Use Cases 
Areas:
chemistry, biology, legal, code, climate, medical
Primary Use Cases:
text-generation, Question-Answer, Token-Classification, Sequence-Classification
Limitations:
Uncensored and will not refuse to give information
Additional Notes 
A friendly interface with a personality that can be caring and flirtatious at times; non-binary.
Supported Languages 
en (English), sw (Swahili), ig (Igbo), zu (Zulu), ca (Catalan), es (Spanish), pt (Portuguese), ha (Hausa)
Training Details 
Data Sources:
huggingface hub, kaggle
Methodology:
Chain of thoughts, step by step planning, tree of thoughts, forest of thoughts, graph of thoughts, agent generation
Context Length:
32000
Input Output 
Accepted Modalities:
text
Performance Tips:
The model can be improved with "thought tokens".
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
Updated2024-11-21
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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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 v20241110
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