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OpenOrca Platypus2 13B GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  OpenOrca Platypus2 13B GGUF   URL Share it on

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  Arxiv:2301.13688   Arxiv:2306.02707   Arxiv:2308.07317 Base model:open-orca/openorca-... Base model:quantized:open-orca... Dataset:garage-baind/open-plat...   Dataset:open-orca/openorca   En   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/OpenOrca-Platypus2-13B-GGUF 

OpenOrca Platypus2 13B GGUF Benchmarks

LLME Score: 0.11766
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenOrca Platypus2 13B GGUF (TheBloke/OpenOrca-Platypus2-13B-GGUF)
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OpenOrca Platypus2 13B GGUF Parameters and Internals

Model Type 
llama, text-generation
Use Cases 
Limitations:
May produce inaccurate, biased or objectionable responses.
Considerations:
Perform safety testing and tuning tailored to specific applications.
Supported Languages 
en (high)
Training Details 
Data Sources:
garage-bAInd/Platypus2-13B, Open-Orca/OpenOrcaxOpenChat-Preview2-13B
Methodology:
LoRA on 1x A100-80GB
Hardware Used:
1x A100-80GB
Model Architecture:
Lllama 2 transformer architecture
Input Output 
Input Format:
Prompt template involves '### Instruction: {prompt} ### Response:'
LLM NameOpenOrca Platypus2 13B GGUF
Repository 🤗https://huggingface.co/TheBloke/OpenOrca-Platypus2-13B-GGUF 
Model NameOpenOrca Platypus2 13B
Model CreatorOpen-Orca
Base Model(s)  OpenOrca Platypus2 13B   Open-Orca/OpenOrca-Platypus2-13B
Model Size13b
Required VRAM5.4 GB
Updated2025-08-23
MaintainerTheBloke
Model Typellama
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   7.9 GB   7.4 GB   9.0 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-4.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/OpenOrca-Platypus2-13B-GGUF.

Rank the OpenOrca Platypus2 13B GGUF 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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