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Phi 3 Medium 128K Instruct GGUF by gaianet

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  Autotrain compatible Base model:microsoft/phi-3-med... Base model:quantized:microsoft...   Code   Conversational   Custom code   Endpoints compatible   Gguf   Instruct   Multilingual   Phi3   Q2   Quantized   Region:us

Phi 3 Medium 128K Instruct GGUF Benchmarks

LLME Score: 0.20812
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 128K Instruct GGUF Parameters and Internals

Model Type 
phi-msft
Additional Notes 
It's part of the GGUF quantization, which offers several options for quality-size trade-offs from Q2_K to f16.
Supported Languages 
Multilingual ()
Input Output 
Input Format:
phi-3-chat
LLM NamePhi 3 Medium 128K Instruct GGUF
Repository 🤗https://huggingface.co/gaianet/Phi-3-medium-128k-instruct-GGUF 
Model NamePhi 3 medium 128k instruct
Model CreatorMicrosoft
Base Model(s)  Phi 3 Medium 128K Instruct   microsoft/Phi-3-medium-128k-instruct
Required VRAM5.1 GB
Updated2024-11-21
Maintainergaianet
Model Typephi-msft
Instruction-BasedYes
Model Files  5.1 GB   7.5 GB   6.9 GB   6.1 GB   7.9 GB   8.6 GB   8.0 GB   9.6 GB   10.1 GB   9.6 GB   11.5 GB   14.8 GB   27.9 GB
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.39.3
Vocabulary Size32064
Torch Data Typebfloat16
Phi 3 Medium 128K Instruct GGUF (gaianet/Phi-3-medium-128k-instruct-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than gaianet/Phi-3-medium-128k-instruct-GGUF.

Rank the Phi 3 Medium 128K Instruct GGUF 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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