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Spydaz Web LCARS Artificial Human R1 002 Multi Lingual by LeroyDyer

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  Autotrain compatible Base model:finetune:leroydyer/... Base model:leroydyer/ spydaz w...   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_LCARS_Artificial_Human_R1_002-Multi-lingual 

Spydaz Web LCARS Artificial Human R1 002 Multi Lingual Benchmarks

LLME Score: 0.2625
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Spydaz Web LCARS Artificial Human R1 002 Multi Lingual (LeroyDyer/_Spydaz_Web_LCARS_Artificial_Human_R1_002-Multi-lingual)
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Spydaz Web LCARS Artificial Human R1 002 Multi Lingual Parameters and Internals

LLM Name Spydaz Web LCARS Artificial Human R1 002 Multi Lingual
Repository 🤗https://huggingface.co/LeroyDyer/_Spydaz_Web_LCARS_Artificial_Human_R1_002-Multi-lingual 
Base Model(s)  ... LCARS Artificial Human R1 001   LeroyDyer/_Spydaz_Web_LCARS_Artificial_Human_R1_001
Model Size7.2b
Required VRAM14.4 GB
Updated2025-08-17
MaintainerLeroyDyer
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 Length131072
Model Max Length131072
Transformers Version4.55.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Spydaz Web LCARS Artificial Human R1 002 Multi Lingual 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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