HAI SER by HelpingAI

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HAI SER Benchmarks

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

HAI SER Parameters and Internals

LLM NameHAI SER
Repository 🤗https://huggingface.co/HelpingAI/HAI-SER 
Model Size13.7b
Required VRAM27.3 GB
Updated2025-02-22
MaintainerHelpingAI
Model Typemixtral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   2.5 GB: 6-of-6
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.49.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|begin▁of▁sentence|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than HelpingAI/HAI-SER.

Rank the HAI SER 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