Simbert Distill 4L192H by WangZeJun

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Simbert Distill 4L192H Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Simbert Distill 4L192H (WangZeJun/simbert_distill_4L192H)
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Simbert Distill 4L192H Parameters and Internals

Model Type 
text similarity, text generation
Use Cases 
Areas:
text understanding, short text similarity
Applications:
sentence similarity analysis, text matching
Primary Use Cases:
text matching, semantic search
Training Details 
Methodology:
Distillation from BERT-based models
Model Architecture:
BERT-based architecture optimized through distillation
Input Output 
Input Format:
Text inputs (typically sentences)
Accepted Modalities:
text
Output Format:
Similarity score or generated text
LLM NameSimbert Distill 4L192H
Repository ๐Ÿค—https://huggingface.co/WangZeJun/simbert_distill_4L192H 
Model Size4.5m
Required VRAM0 GB
Updated2025-07-22
MaintainerWangZeJun
Model Files  0.0 GB   0.0 GB
Model ArchitectureAutoModel
Context Length512
Model Max Length512
Vocabulary Size13685

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Note: green Score (e.g. "73.2") means that the model is better than WangZeJun/simbert_distill_4L192H.

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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 v20241124