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Rhea 72B V0.5 by davidkim205

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  Autotrain compatible   En   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/davidkim205/Rhea-72b-v0.5 

Rhea 72B V0.5 Benchmarks

MMLU Pro: 1.85
GPQA: 0.34
MUSR: 11.32
BBH: 3.67
IFEval: 1.45 vs 88 (so35)-98.4%
ARC: 79.78 vs 96.7 (so35)-17.5%
HellaSwag: 91.15 vs 95.3 (gpt4)-4.4%
MMLU: 77.95 vs 88.3 (so35)-11.7%
TruthfulQA: 74.5 vs 59 (gpt4)26.3%
WinoGrande: 87.85 vs 87.5 (gpt4)0.4%
GSM8K: 76.12 vs 96.4 (so35)-21%
MATH Lvl 5: 17.37
LLME Score: 0.19099
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rhea 72B V0.5 (davidkim205/Rhea-72b-v0.5)

Rhea 72B V0.5 Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
datasets_enconv_4m, datasets_encomp_151k
Methodology:
We built a dataset for SFT learning based on the currently open dataset, and created a dataset using SGD (Self-Generated Dataset Creation Method for DPO Learning) for DPO learning.
LLM NameRhea 72B V0.5
Repository 🤗https://huggingface.co/davidkim205/Rhea-72b-v0.5 
Model Size72b
Required VRAM144.5 GB
Updated2025-05-16
Maintainerdavidkim205
Model Typellama
Model Files  4.8 GB: 1-of-30   5.0 GB: 2-of-30   5.0 GB: 3-of-30   4.8 GB: 4-of-30   4.8 GB: 5-of-30   4.8 GB: 6-of-30   5.0 GB: 7-of-30   5.0 GB: 8-of-30   4.8 GB: 9-of-30   4.8 GB: 10-of-30   4.8 GB: 11-of-30   5.0 GB: 12-of-30   5.0 GB: 13-of-30   4.8 GB: 14-of-30   4.8 GB: 15-of-30   4.8 GB: 16-of-30   5.0 GB: 17-of-30   5.0 GB: 18-of-30   4.8 GB: 19-of-30   4.8 GB: 20-of-30   4.8 GB: 21-of-30   5.0 GB: 22-of-30   5.0 GB: 23-of-30   4.8 GB: 24-of-30   4.8 GB: 25-of-30   4.8 GB: 26-of-30   5.0 GB: 27-of-30   5.0 GB: 28-of-30   4.8 GB: 29-of-30   2.9 GB: 30-of-30
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than davidkim205/Rhea-72b-v0.5.

Rank the Rhea 72B V0.5 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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