Phi 3 Mini 4K Instruct Sft CoT by StefanKrsteski

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

Rank the Phi 3 Mini 4K Instruct Sft CoT 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  
Phi 3 Mini 4K Instruct Sft CoT (StefanKrsteski/Phi-3-mini-4k-instruct-sft-CoT)

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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-CoT.

Phi 3 Mini 4K Instruct Sft CoT Parameters and Internals

LLM NamePhi 3 Mini 4K Instruct Sft CoT
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Phi 3 Mini 4K Instruct   microsoft/Phi-3-mini-4k-instruct
Required VRAM0.1 GB
Model Files  0.1 GB   0.0 GB
Model ArchitectureAdapter
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
LoRA ModelYes
PEFT Target Modulesdown_proj|k_proj|gate_proj|up_proj|o_proj|q_proj|v_proj
LoRA Alpha32
LoRA Dropout0.1
R Param64

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801