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Orca Mini V9 5 3B Instruct by pankajmathur

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational Dataset:pankajmathur/orca mini... Dataset:pankajmathur/orca mini...   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_v9_5_3B-Instruct 

Orca Mini V9 5 3B Instruct Benchmarks

MMLU Pro: 20.91
GPQA: 4.92
MUSR: 12.27
BBH: 21.52
IFEval: 72.07 vs 88 (so35)-18.1%
MATH Lvl 5: 13.22
LLME Score: 0.3179
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca Mini V9 5 3B Instruct (pankajmathur/orca_mini_v9_5_3B-Instruct)

Orca Mini V9 5 3B Instruct Parameters and Internals

LLM NameOrca Mini V9 5 3B Instruct
Repository 🤗https://huggingface.co/pankajmathur/orca_mini_v9_5_3B-Instruct 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM6.5 GB
Updated2025-03-11
Maintainerpankajmathur
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2   5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.47.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v9_5_3B-Instruct.

Rank the Orca Mini V9 5 3B Instruct 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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Release v20241227
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