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Phi 3 Mini 4K Instruct V0.2 GGUF by MaziyarPanahi

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Phi 3 Mini 4K Instruct V0.2 GGUF Benchmarks

LLME Score: 0.21615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Phi 3 Mini 4K Instruct V0.2 GGUF Parameters and Internals

LLM NamePhi 3 Mini 4K Instruct V0.2 GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Phi-3-mini-4k-instruct-v0.2-GGUF 
Model NamePhi-3-mini-4k-instruct-v0.2-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  MaziyarPanahi/Phi-3-mini-4k-instruct-v0.2   MaziyarPanahi/Phi-3-mini-4k-instruct-v0.2
Required VRAM1.4 GB
Updated2024-07-20
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  1.4 GB   2.1 GB   2.0 GB   1.7 GB   2.4 GB   2.2 GB   2.8 GB   2.6 GB   3.1 GB   4.1 GB   7.6 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Phi 3 Mini 4K Instruct V0.2 GGUF (MaziyarPanahi/Phi-3-mini-4k-instruct-v0.2-GGUF)

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Phi 3 Mini 4K Instruct GGUF0K / 1.4 GB187815
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...i 3 Mini 4K Instruct V0.3 GGUF0K / 1.4 GB2275
Phi 3 Mini 4K Instruct0K / 2.3 GB570
Dre Phi Gguf0K / 2.3 GB480
Autocomplete Model0K / 4.1 GB370
...i 3 Mini 4K Instruct V0.1 GGUF0K / 1.4 GB1321
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Phi-3-mini-4k-instruct-v0.2-GGUF.

Rank the Phi 3 Mini 4K Instruct V0.2 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  
Text Summarization and Feature Extraction  
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Release v2024072803
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