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Galpaca 30B MiniOrca by KnutJaegersberg

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Galpaca 30B MiniOrca is an open-source language model by KnutJaegersberg. Features: 30b LLM, VRAM: 59.6GB, Context: 2K, License: cc-by-nc-4.0, HF Score: 42.2, LLM Explorer Score: 0.16, Arc: 48.9, HellaSwag: 57.8, MMLU: 43.7, TruthfulQA: 41.1, WinoGrande: 60.1, GSM8K: 1.8.

  Autotrain compatible   Dataset:tinypixel/orca-mini   Endpoints compatible   Galactica   Model-index   Opt   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/Galpaca-30b-MiniOrca 

Galpaca 30B MiniOrca Benchmarks

ARC: 48.89 vs 96.7 (so35)-49.4%
HellaSwag: 57.8 vs 95.3 (gpt4)-39.3%
MMLU: 43.72 vs 88.3 (so35)-50.5%
TruthfulQA: 41.1 vs 59 (gpt4)-30.3%
WinoGrande: 60.06 vs 87.5 (gpt4)-31.4%
GSM8K: 1.82 vs 96.4 (so35)-98.1%
LLME Score: 0.1593
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Galpaca 30B MiniOrca (KnutJaegersberg/Galpaca-30b-MiniOrca)
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Galpaca 30B MiniOrca Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
TinyPixel/orca-mini
Methodology:
Trained for 2.7 epochs on the 50k shortest records of miniorca dataset with NEFTune.
LLM NameGalpaca 30B MiniOrca
Repository 🤗https://huggingface.co/KnutJaegersberg/Galpaca-30b-MiniOrca 
Model Size30b
Required VRAM59.6 GB
Updated2025-09-28
MaintainerKnutJaegersberg
Model Typeopt
Model Files  4.9 GB: 1-of-13   4.9 GB: 2-of-13   4.9 GB: 3-of-13   4.9 GB: 4-of-13   4.9 GB: 5-of-13   4.9 GB: 6-of-13   4.9 GB: 7-of-13   4.9 GB: 8-of-13   4.9 GB: 9-of-13   4.9 GB: 10-of-13   4.9 GB: 11-of-13   4.9 GB: 12-of-13   0.8 GB: 13-of-13
Model ArchitectureOPTForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size50000
Torch Data Typefloat16
Activation Functiongelu

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Rank the Galpaca 30B MiniOrca 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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