113 Emotion Summarizer by bsen26

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

113 Emotion Summarizer Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
113 Emotion Summarizer (bsen26/113-Emotion-Summarizer)

113 Emotion Summarizer Parameters and Internals

LLM Name113 Emotion Summarizer
Repository ๐Ÿค—https://huggingface.co/bsen26/113-Emotion-Summarizer 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerbsen26
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 Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than bsen26/113-Emotion-Summarizer.

Rank the 113 Emotion Summarizer 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227