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EMO 2B by OEvortex

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EMO 2B is an open-source language model by OEvortex. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: apache-2.0, HF Score: 44.3, LLM Explorer Score: 0.17, Arc: 45, HellaSwag: 64.1, MMLU: 38.7, TruthfulQA: 48.5, WinoGrande: 62.2, GSM8K: 7.1.

  Conversational   Emo   Endpoints compatible   Gemma   Helpingai   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/OEvortex/EMO-2B 

EMO 2B Benchmarks

ARC: 44.97 vs 96.7 (so35)-53.5%
HellaSwag: 64.06 vs 95.3 (gpt4)-32.8%
MMLU: 38.72 vs 88.3 (so35)-56.1%
TruthfulQA: 48.5 vs 59 (gpt4)-17.8%
WinoGrande: 62.19 vs 87.5 (gpt4)-28.9%
GSM8K: 7.13 vs 96.4 (so35)-92.6%
LLME Score: 0.16684
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EMO 2B (OEvortex/EMO-2B)
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EMO 2B Parameters and Internals

Model Type 
Conversational AI, Emotionally Intelligent AI
Use Cases 
Areas:
Mental health support, Emotional support companionship, Personalized coaching, Narrative storytelling, Customer service
Limitations:
Does not replicate depth of human emotional intelligence, Not a substitute for professional mental health support
Considerations:
Users should exercise caution and critical thinking.
Responsible Ai Considerations 
Mitigation Strategies:
Users should report any concerning or inappropriate responses.
LLM NameEMO 2B
Repository 🤗https://huggingface.co/OEvortex/EMO-2B 
Model Size2b
Required VRAM5.1 GB
Updated2026-04-06
MaintainerOEvortex
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than OEvortex/EMO-2B.

Rank the EMO 2B 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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