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Phi 3 Medium 4K Instruct by microsoft

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Phi 3 Medium 4K Instruct Benchmarks

LMSys ELO: 1123 vs 1272 (so35)-11.7%
MMLU Pro: 40.84
GPQA: 11.52
MUSR: 13.05
BBH: 49.38
IFEval: 64.23 vs 88 (so35)-27%
ARC: 67.32 vs 96.7 (so35)-30.4%
HellaSwag: 85.76 vs 95.3 (gpt4)-10%
MMLU: 77.83 vs 88.3 (so35)-11.9%
TruthfulQA: 57.71 vs 59 (gpt4)-2.2%
WinoGrande: 72.69 vs 87.5 (gpt4)-16.9%
GSM8K: 79.38 vs 96.4 (so35)-17.7%
MATH Lvl 5: 16.99
LLME Score: 0.56996
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Phi 3 Medium 4K Instruct Parameters and Internals

LLM NamePhi 3 Medium 4K Instruct
Repository 🤗https://huggingface.co/microsoft/Phi-3-medium-4k-instruct 
Model Size14b
Required VRAM28 GB
Updated2024-09-07
Maintainermicrosoft
Model Typephi3
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.8 GB: 4-of-6   4.8 GB: 5-of-6   3.6 GB: 6-of-6
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16
Phi 3 Medium 4K Instruct (microsoft/Phi-3-medium-4k-instruct)

Quantized Models of the Phi 3 Medium 4K Instruct

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Phi 3 Medium 4K Instruct 8bit1414 GB
Phi 3 Medium 4K Instruct GGUF021875 GB
Phi 3 Medium 4K Instruct GGUF0715 GB

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Rank the Phi 3 Medium 4K Instruct Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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