Phi 3 Mini 4K Instruct Sft by StefanKrsteski

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  Arxiv:1910.09700   Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-3-min...   Finetuned   Instruct   Lora   Peft   Region:us   Safetensors

Phi 3 Mini 4K Instruct Sft Benchmarks

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 Sft Parameters and Internals

LLM NamePhi 3 Mini 4K Instruct Sft
Repository ๐Ÿค—https://huggingface.co/StefanKrsteski/Phi-3-mini-4k-instruct-sft 
Base Model(s)  Phi 3 Mini 4K Instruct   microsoft/Phi-3-mini-4k-instruct
Required VRAM0 GB
Updated2024-08-15
MaintainerStefanKrsteski
Instruction-BasedYes
Model Files  0.1 GB   0.3 GB   0.0 GB   0.0 GB
Model ArchitectureAdapter
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|q_proj|k_proj|gate_proj|down_proj|o_proj|v_proj
LoRA Alpha32
LoRA Dropout0.1
R Param64
Phi 3 Mini 4K Instruct Sft (StefanKrsteski/Phi-3-mini-4k-instruct-sft)

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Note: green Score (e.g. "73.2") means that the model is better than StefanKrsteski/Phi-3-mini-4k-instruct-sft.

Rank the Phi 3 Mini 4K Instruct Sft 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  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803