SlimOrca 13B by ajibawa-2023

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  Autotrain compatible Dataset:ajibawa-2023/slimorca-...   Dataset:open-orca/slimorca   En   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Sharded

SlimOrca 13B Benchmarks

SlimOrca 13B (ajibawa-2023/SlimOrca-13B)
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SlimOrca 13B Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is trained to handle various tasks such as Q&A, Sentiment Analysis, Reviews, and Uncensored content generation.
Training Details 
Data Sources:
aji-bawa-2023/SlimOrca-ShareGPT
Data Volume:
517981 set of conversations
Methodology:
Full fine tuning
Training Time:
11 Days
Hardware Used:
Azure 4 x A100 80GB
Input Output 
Input Format:
ShareGPT/Vicuna format v1.1.
Accepted Modalities:
text
LLM NameSlimOrca 13B
Repository ๐Ÿค—https://huggingface.co/ajibawa-2023/SlimOrca-13B 
Model Size13b
Required VRAM26.1 GB
Updated2025-08-20
Maintainerajibawa-2023
Model Typellama
Model Files  8.6 GB: 1-of-4   8.5 GB: 2-of-4   8.5 GB: 3-of-4   0.5 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-nd-4.0
Context Length4096
Model Max Length4096
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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SlimOrca 13B GGUF41335 GB
SlimOrca 13B GPTQ277 GB
SlimOrca 13B AWQ277 GB

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Rank the SlimOrca 13B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124