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HelpingAI 3B V3 by OEvortex

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HelpingAI 3B V3 is an open-source language model by OEvortex. Features: 3b LLM, VRAM: 10.6GB, Context: 4K, License: other, LLM Explorer Score: 0.15.

  Autotrain compatible   Conversational   Custom code Dataset:oevortex/emotionalinte... Dataset:oevortex/sentimentsynt...   Emotionally intelligent   Eq   Helpingai   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/OEvortex/HelpingAI-3B-v3 

HelpingAI 3B V3 Benchmarks

LLME Score: 0.14906
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HelpingAI 3B V3 (OEvortex/HelpingAI-3B-v3)
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HelpingAI 3B V3 Parameters and Internals

Model Type 
text-generation
Use Cases 
Applications:
Emotionally intelligent conversational interactions
Primary Use Cases:
Engage in open-ended dialogue while displaying emotional intelligence, Recognize and validate user emotions, Provide empathetic responses, Avoid insensitive speech
Training Details 
Data Sources:
Large dialogue datasets with emotional labeling, Psychological resources on emotional intelligence
Methodology:
Reinforcement learning with feedback model favoring emotionally supportive responses, Constitution training
LLM NameHelpingAI 3B V3
Repository 🤗https://huggingface.co/OEvortex/HelpingAI-3B-v3 
Model Size3b
Required VRAM10.6 GB
Updated2025-11-26
MaintainerOEvortex
Model TypeHelpingAI
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   0.8 GB: 3-of-3
Model ArchitectureHelpingAIForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|im_end|>
Vocabulary Size50281
Torch Data Typefloat16

Best Alternatives to HelpingAI 3B V3

Best Alternatives
Context / RAM
Downloads
Likes
PRIME 3B V2.24K / 10.6 GB12
DECYPHERS AI 3B V2.24K / 10.6 GB12
HelpingAI 3B V2.24K / 5.6 GB2387
HelpingAI 3B V2.14K / 5.6 GB83
HelpingAI 3B4K / 5.6 GB64

Rank the HelpingAI 3B V3 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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