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Orca Mini Phi 4 by pankajmathur

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  Autotrain compatible Base model:finetune:microsoft/...   Base model:microsoft/phi-4   Conversational Dataset:pankajmathur/orca mini... Dataset:pankajmathur/orca mini...   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_phi-4 

Orca Mini Phi 4 Benchmarks

MMLU Pro: 47.28
GPQA: 16.55
MUSR: 18.25
BBH: 54.63
IFEval: 77.81 vs 88 (so35)-11.6%
MATH Lvl 5: 29.53
LLME Score: 0.32685
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca Mini Phi 4 (pankajmathur/orca_mini_phi-4)
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Orca Mini Phi 4 Parameters and Internals

LLM NameOrca Mini Phi 4
Repository 🤗https://huggingface.co/pankajmathur/orca_mini_phi-4 
Base Model(s)  Phi 4   microsoft/phi-4
Model Size14.7b
Required VRAM29.4 GB
Updated2025-09-08
Maintainerpankajmathur
Model Typellama
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.6 GB: 6-of-6   4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.6 GB: 6-of-6
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.47.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|dummy_87|>
Vocabulary Size100352
Torch Data Typebfloat16

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Phi 4 RStock V0.116K / 29.5 GB60
Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_phi-4.

Rank the Orca Mini Phi 4 Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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