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Orca Mini V5 8B by pankajmathur

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Orca Mini V5 8B is an open-source language model by pankajmathur. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.2, Arc: 60.9, HellaSwag: 81.8, MMLU: 65, GSM8K: 67.6.

  Conversational   En   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_v5_8b 

Orca Mini V5 8b Benchmarks

ARC: 60.92 vs 96.7 (so35)-37%
HellaSwag: 81.78 vs 95.3 (gpt4)-14.2%
MMLU: 64.97 vs 88.3 (so35)-26.4%
GSM8K: 67.55 vs 96.4 (so35)-29.9%
LLME Score: 0.2035
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca Mini V5 8B (pankajmathur/orca_mini_v5_8b)
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Orca Mini V5 8B Parameters and Internals

LLM NameOrca Mini V5 8b
Repository 🤗https://huggingface.co/pankajmathur/orca_mini_v5_8b 
Model Size8b
Required VRAM16.1 GB
Updated2026-05-05
Maintainerpankajmathur
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128258
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v5_8b.

Rank the Orca Mini V5 8B 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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