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Spydaz Web AI MistralStar V2 by LeroyDyer

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Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_MistralStar_V2 

Spydaz Web AI MistralStar V2 Benchmarks

LLME Score: 0.16397
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 V2 (LeroyDyer/_Spydaz_Web_AI_MistralStar_V2)
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Spydaz Web AI MistralStar V2 Parameters and Internals

LLM Name Spydaz Web AI MistralStar V2
Repository 🤗https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_MistralStar_V2 
Model Size7.3b
Required VRAM14.5 GB
Updated2025-10-18
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

Best Alternatives to Spydaz Web AI MistralStar V2

Best Alternatives
Context / RAM
Downloads
Likes
...Web AI MistralStar 001 Project0K / 14.5 GB291
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_MistralStar_V2.

Rank the Spydaz Web AI MistralStar V2 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 v20241124
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