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HelpingAI2 9B by OEvortex

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  Conversational   Dataset:abhaykoul/emotions Dataset:abhaykoul/human-emotio...   Dataset:jeankaddour/minipile Dataset:oevortex/emotionalinte... Dataset:oevortex/sentimentsynt...   Dataset:oevortex/vortex-mini   Emotionally intelligent   En   Endpoints compatible   Eq   Gguf   Helpingai   Llama   Model-index   Q5   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/OEvortex/HelpingAI2-9B 

HelpingAI2 9B Benchmarks

MMLU Pro: 21.11
GPQA: 1.12
MUSR: 6.32
BBH: 27.07
IFEval: 44.13 vs 88 (so35)-49.9%
MATH Lvl 5: 5.89
LLME Score: 0.2676
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HelpingAI2 9B (OEvortex/HelpingAI2-9B)

HelpingAI2 9B Parameters and Internals

Model Type 
Emotionally Intelligent Conversational AI
Use Cases 
Areas:
Emotionally intelligent conversations
Primary Use Cases:
Engage in dialogue while displaying emotional intelligence, Recognize and validate user emotions, Provide empathetic responses, Avoid insensitive or harmful speech
Supported Languages 
English (high)
Training Details 
Data Sources:
OEvortex/SentimentSynth, JeanKaddour/minipile, OEvortex/vortex-mini, OEvortex/EmotionalIntelligence-75K, Abhaykoul/EMOTIONS, Abhaykoul/human-emotion
Methodology:
The model is trained using supervised learning with large dialogue datasets containing emotional labels, reinforcement learning to favour emotionally supportive interactions, and constitution training for stable ethical objectives. Incorporation of psychological resources on emotional intelligence is used to enhance understanding and response capabilities.
Input Output 
Input Format:
The model utilizes a chat-based format where the system prompt defines its role and style.
Accepted Modalities:
text
Output Format:
Text
LLM NameHelpingAI2 9B
Repository 🤗https://huggingface.co/OEvortex/HelpingAI2-9B 
Model Size9b
Required VRAM17.8 GB
Updated2024-12-05
MaintainerOEvortex
Model Typellama
Model Files  6.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   2.9 GB: 4-of-4
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq5|gguf
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Rank the HelpingAI2 9B 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
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