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Vortex 3B by OEvortex

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Model Card on HF 🤗: https://huggingface.co/OEvortex/vortex-3b 

Vortex 3B Benchmarks

ARC: 31.91 vs 96.7 (so35)-67%
HellaSwag: 56.89 vs 95.3 (gpt4)-40.3%
MMLU: 27.32 vs 88.3 (so35)-69.1%
TruthfulQA: 37.39 vs 59 (gpt4)-36.6%
WinoGrande: 60.14 vs 87.5 (gpt4)-31.3%
GSM8K: 0.91 vs 96.4 (so35)-99.1%
LLME Score: 0.20933
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vortex 3B (OEvortex/vortex-3b)

Vortex 3B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Derived from EleutherAI's Pythia-2.8b, optimized for text-generation tasks.
Training Details 
Data Sources:
Vortex-50k dataset
Methodology:
fine-tuned
LLM NameVortex 3B
Repository 🤗https://huggingface.co/OEvortex/vortex-3b 
Model Size3b
Required VRAM5.6 GB
Updated2025-02-22
MaintainerOEvortex
Model Typegpt_neox
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2   5.0 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.38.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat16

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Rank the Vortex 3B 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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Release v20241227
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