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Orca Mini V6 8B by pankajmathur

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Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_v6_8b 

Orca Mini V6 8b Benchmarks

MMLU Pro: 1.38
MUSR: 2.77
BBH: 3.22
IFEval: 1.11 vs 88 (so35)-98.7%
MATH Lvl 5: 0.38
LLME Score: 0.18288
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca Mini V6 8B (pankajmathur/orca_mini_v6_8b)

Orca Mini V6 8B Parameters and Internals

Model Type 
text2text-generation
Additional Notes 
The model is designed to be a comprehensive general model and encourages users to customize and enhance it.
Input Output 
Input Format:
ChatML prompt format
Accepted Modalities:
text
Release Notes 
Version:
unknown
Date:
coming soon
Notes:
Evaluation and GGUF/AWQ quantization details to be announced.
LLM NameOrca Mini V6 8b
Repository 🤗https://huggingface.co/pankajmathur/orca_mini_v6_8b 
Model Size8b
Required VRAM16.1 GB
Updated2025-04-22
Maintainerpankajmathur
Model Typellama
Instruction-BasedYes
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_v6_8b.

Rank the Orca Mini V6 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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Release v20241227
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