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Orca Mini 3B by pankajmathur

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Orca Mini 3B is an open-source language model by pankajmathur. Features: 3b LLM, VRAM: 13.7GB, Context: 2K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.1.

  Arxiv:2306.02707   Dataset:psmathur/alpaca orca   Dataset:psmathur/dolly-v2 orca   Dataset:psmathur/wizardlm orca   Deploy:azure   En   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_3b 

Orca Mini 3b Benchmarks

LLME Score: 0.10298
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca Mini 3B (pankajmathur/orca_mini_3b)
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Orca Mini 3B Parameters and Internals

Model Type 
text generation
Additional Notes 
This model can produce factually incorrect output and is not reliable for accurate information generation.
Training Details 
Data Sources:
WizardLM dataset ~70K, Alpaca dataset ~52K, Dolly-V2 dataset ~15K
Methodology:
Explain tuned datasets, with instructions and input from WizardLM, Alpaca & Dolly-V2 datasets and applying Orca Research Paper dataset construction approaches.
Context Length:
1024
Training Time:
4 Hours on 8x A100(80G) GPUs
Hardware Used:
8x A100(80G) GPUs
Model Architecture:
Derived from OpenLLaMa-3B
LLM NameOrca Mini 3b
Repository 🤗https://huggingface.co/pankajmathur/orca_mini_3b 
Model Size3b
Required VRAM13.7 GB
Updated2026-05-24
Maintainerpankajmathur
Model Typellama
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.7 GB: 3-of-3   5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.7 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.29.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_3b.

Rank the Orca Mini 3B 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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Release v20260328a
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