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SlimOrca 13B GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  SlimOrca 13B GGUF   URL Share it on

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Base model:ajibawa-2023/slimor... Base model:quantized:ajibawa-2... Dataset:ajibawa-2023/slimorca-...   Dataset:open-orca/slimorca   En   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/SlimOrca-13B-GGUF 

SlimOrca 13B GGUF Benchmarks

LLME Score: 0.12867
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SlimOrca 13B GGUF (TheBloke/SlimOrca-13B-GGUF)
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SlimOrca 13B GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
general-purpose content generation
Applications:
Q&A, Articles from Summary, Sentiment Analysis, Context & Hypothesis, Reviews, Erotic content generation
Primary Use Cases:
content generation, AI assistant tasks
Limitations:
responsibility for uncensored content
Considerations:
Careful when generating uncensored content
Additional Notes 
The model is very versatile in content generation.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Open-Orca, ajibawa-2023/SlimOrca-ShareGPT
Data Volume:
517981 sets of conversations
Methodology:
Fine-tuned on Llama-2
Training Time:
11 days on 4 x A100 80GB GPUs
Hardware Used:
Azure 4 x A100 80GB
Model Architecture:
llama-based
Input Output 
Input Format:
USER: {prompt} ASSISTANT:
LLM NameSlimOrca 13B GGUF
Repository 🤗https://huggingface.co/TheBloke/SlimOrca-13B-GGUF 
Model NameSlimOrca 13B
Model CreatorFeynman Innovations
Base Model(s)  SlimOrca 13B   ajibawa-2023/SlimOrca-13B
Model Size13b
Required VRAM5.4 GB
Updated2025-08-20
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-nd-4.0

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

Rank the SlimOrca 13B GGUF 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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