L3 SnowStorm V1.15 4x8B A by xxx777xxxASD

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L3 SnowStorm V1.15 4x8B A Benchmarks

L3 SnowStorm V1.15 4x8B A (xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A)

L3 SnowStorm V1.15 4x8B A Parameters and Internals

Model Type 
text-generation
Training Details 
Model Architecture:
MoE with random gate_mode, bfloat16 dtype, and 2 experts per token
Input Output 
Input Format:
Llama 3
Release Notes 
Version:
v1.15A
Date:
Unknown
Notes:
Experimental RP-oriented MoE model with improved performance over Mixtral 8x7B in RP/ERP tasks. Uses multiple expert models.
LLM NameL3 SnowStorm V1.15 4x8B A
Repository ๐Ÿค—https://huggingface.co/xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A 
Model Size24.9b
Required VRAM49.9 GB
Updated2025-03-13
Maintainerxxx777xxxASD
Model Typemixtral
Model Files  3.9 GB: 1-of-13   3.9 GB: 2-of-13   3.9 GB: 3-of-13   3.9 GB: 4-of-13   3.9 GB: 5-of-13   4.0 GB: 6-of-13   4.0 GB: 7-of-13   3.9 GB: 8-of-13   3.9 GB: 9-of-13   3.9 GB: 10-of-13   3.9 GB: 11-of-13   3.9 GB: 12-of-13   2.9 GB: 13-of-13
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.0
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 xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A.

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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 v20241227