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Phi 2 Instruction by huseyinatahaninan

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  4-bit   Adapter   Alignment-handbook Base model:adapter:microsoft/p...   Base model:microsoft/phi-2   Bitsandbytes   Custom code Dataset:huggingfaceh4/ultracha...   Finetuned   Generated from trainer   Instruct   Lora   Peft   Phi   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/huseyinatahaninan/phi-2-instruction 

Phi 2 Instruction Benchmarks

ARC: 61.09 vs 96.7 (so35)-36.8%
HellaSwag: 74.68 vs 95.3 (gpt4)-21.6%
MMLU: 57.81 vs 88.3 (so35)-34.5%
TruthfulQA: 45.1 vs 59 (gpt4)-23.6%
WinoGrande: 74.82 vs 87.5 (gpt4)-14.5%
GSM8K: 51.63 vs 96.4 (so35)-46.4%
LLME Score: 0.15119
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Instruction (huseyinatahaninan/phi-2-instruction)
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Phi 2 Instruction Parameters and Internals

Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k
Hardware Used:
multi-GPU, num_devices: 8
LLM NamePhi 2 Instruction
Repository 🤗https://huggingface.co/huseyinatahaninan/phi-2-instruction 
Base Model(s)  Phi 2   microsoft/phi-2
Required VRAM0 GB
Updated2025-09-12
Maintainerhuseyinatahaninan
Instruction-BasedYes
Model Files  0.0 GB
Model ArchitectureAdapter
Licensemit
Model Max Length2048
Is Biasednone
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|gate_proj|down_proj|v_proj|up_proj|k_proj|o_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than huseyinatahaninan/phi-2-instruction.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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