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L3 MoE 4X8B Grand Horror 25B by DavidAU

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  Autotrain compatible   Conversational   Endpoints compatible   Merge   Mergekit   Mixtral   Mixture of experts   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DavidAU/L3-MOE-4X8B-Grand-Horror-25B 

L3 MoE 4X8B Grand Horror 25B Benchmarks

LLME Score: 0.2332
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3 MoE 4X8B Grand Horror 25B (DavidAU/L3-MOE-4X8B-Grand-Horror-25B)

L3 MoE 4X8B Grand Horror 25B Parameters and Internals

LLM NameL3 MoE 4X8B Grand Horror 25B
Repository 🤗https://huggingface.co/DavidAU/L3-MOE-4X8B-Grand-Horror-25B 
Model Size24.9b
Required VRAM50.1 GB
Updated2025-03-13
MaintainerDavidAU
Model Typemixtral
Model Files  4.9 GB: 1-of-11   5.0 GB: 2-of-11   4.9 GB: 3-of-11   5.0 GB: 4-of-11   5.0 GB: 5-of-11   4.9 GB: 6-of-11   5.0 GB: 7-of-11   5.0 GB: 8-of-11   4.9 GB: 9-of-11   4.4 GB: 10-of-11   1.1 GB: 11-of-11
Model ArchitectureMixtralForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/L3-MOE-4X8B-Grand-Horror-25B.

Rank the L3 MoE 4X8B Grand Horror 25B 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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