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Spydaz Web AI Mistral R1 Base by LeroyDyer

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  Arxiv:2203.05482   Autotrain compatible Base model:leroydyer/lcars top... Base model:leroydyer/spydazweb... Base model:merge:leroydyer/lca... Base model:merge:leroydyer/spy...   Conversational   Doi:10.57967/hf/4494   Endpoints compatible   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_Mistral_R1_Base 

Spydaz Web AI Mistral R1 Base Benchmarks

LLME Score: 0.27537
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 Mistral R1 Base (LeroyDyer/_Spydaz_Web_AI_Mistral_R1_Base)

Spydaz Web AI Mistral R1 Base Parameters and Internals

LLM Name Spydaz Web AI Mistral R1 Base
Repository 🤗https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_Mistral_R1_Base 
Base Model(s)  SpydazWeb AI HumanAGI 002   LCARS TOP SCORE   ...pydaz Web AI CheckPointsMerged   ... AI ReasoningCheckPointsMerged   LeroyDyer/SpydazWeb_AI_HumanAGI_002   LeroyDyer/LCARS_TOP_SCORE   LeroyDyer/_Spydaz_Web_AI_CheckPointsMerged   LeroyDyer/_Spydaz_Web_AI_ReasoningCheckPointsMerged
Model Size7.2b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerLeroyDyer
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_Mistral_R1_Base.

Rank the Spydaz Web AI Mistral R1 Base 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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Release v20241227
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