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Phi 4 Model Stock by bunnycore

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  Merged Model   Arxiv:2403.19522   Autotrain compatible   Base model:bunnycore/phi-4-avg Base model:prithivmlmods/phi-4... Base model:prithivmlmods/phi-4... Base model:prithivmlmods/phi-4...   Base model:unsloth/phi-4   Conversational   Endpoints compatible   Llama   Model-index   Phi4   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Phi-4-Model-Stock 

Phi 4 Model Stock Benchmarks

MMLU Pro: 48.54
GPQA: 13.98
MUSR: 15.12
BBH: 55.32
IFEval: 68.79 vs 88 (so35)-21.8%
MATH Lvl 5: 38.6
LLME Score: 0.39963
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 4 Model Stock (bunnycore/Phi-4-Model-Stock)

Phi 4 Model Stock Parameters and Internals

LLM NamePhi 4 Model Stock
Repository 🤗https://huggingface.co/bunnycore/Phi-4-Model-Stock 
Base Model(s)  Phi 4   Phi 4 Avg   Phi 4 Empathetic   Phi 4 Math IO   Phi 4 QwQ   unsloth/phi-4   bunnycore/Phi-4-Avg   prithivMLmods/Phi-4-Empathetic   prithivMLmods/Phi-4-Math-IO   prithivMLmods/Phi-4-QwQ
Merged ModelYes
Model Size14.7b
Required VRAM29.5 GB
Updated2025-02-05
Maintainerbunnycore
Model Typellama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   5.0 GB: 5-of-6   4.6 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.46.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|dummy_87|>
Vocabulary Size100352
Torch Data Typebfloat16

Best Alternatives to Phi 4 Model Stock

Best Alternatives
Context / RAM
Downloads
Likes
Phi 416K / 29.4 GB2215568
Phi 4 Model Stock V416K / 29.5 GB2457
Orca Mini Phi 416K / 29.4 GB3647
Phi 4 RR Shoup16K / 29.5 GB201
Phi 4 O116K / 29.4 GB65926
Phi 4 QwQ16K / 29.4 GB118713
Phi 4 RStock V0.116K / 29.5 GB140
Phi 4 Stock Ex16K / 29.5 GB382
Phi 4 Stock RP16K / 29.5 GB531
Phi 4 Empathetic16K / 29.4 GB24912
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Phi-4-Model-Stock.

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Release v20241227
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