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Slim Emotions by llmware

 »  All LLMs  »  llmware  »  Slim Emotions   URL Share it on

  8   
  Autotrain compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/llmware/slim-emotions 

Slim Emotions Benchmarks

LLME Score: 0.13225
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Slim Emotions (llmware/slim-emotions)
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Slim Emotions Parameters and Internals

Model Type 
emotion analysis, structured output generation
Use Cases 
Primary Use Cases:
emotion analysis function calls
Input Output 
Input Format:
`function = "classify"` `params = "emotions"` `prompt = " " + {text} + "\n" +` `<{function}> " + {params} + "" + "\n:"`
Output Format:
Python dictionary e.g., `{"emotions": ["proud"]}`
LLM NameSlim Emotions
Repository 🤗https://huggingface.co/llmware/slim-emotions 
Model Size1.1b
Required VRAM2.2 GB
Updated2025-09-23
Maintainerllmware
Model Typellama
Model Files  2.2 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.36.1
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than llmware/slim-emotions.

Rank the Slim Emotions Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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