Phi 3 Mini 4K Instruct Prune2 by aipib

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  Merged Model   Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-3-min...   Conversational   Custom code   Endpoints compatible   Instruct Microsoft/phi-3-mini-4k-instru...   Phi3   Region:us   Safetensors   Sharded   Tensorflow

Phi 3 Mini 4K Instruct Prune2 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 Prune2 (aipib/phi-3-mini-4k-instruct-prune2)

Phi 3 Mini 4K Instruct Prune2 Parameters and Internals

Additional Notes 
The model was merged using LazyMergekit and employs specific slicing ranges from the same base model.
Input Output 
Input Format:
messages in a dictionary with user content
Accepted Modalities:
text
Output Format:
generated text
LLM NamePhi 3 Mini 4K Instruct Prune2
Repository ๐Ÿค—https://huggingface.co/aipib/phi-3-mini-4k-instruct-prune2 
Base Model(s)  Phi 3 Mini 4K Instruct   Phi 3 Mini 4K Instruct   microsoft/Phi-3-mini-4k-instruct   microsoft/Phi-3-mini-4k-instruct
Merged ModelYes
Model Size3.1b
Required VRAM6.3 GB
Updated2025-02-22
Maintaineraipib
Model Typephi3
Instruction-BasedYes
Model Files  1.0 GB: 1-of-7   1.0 GB: 2-of-7   1.0 GB: 3-of-7   0.9 GB: 4-of-7   0.9 GB: 5-of-7   0.9 GB: 6-of-7   0.6 GB: 7-of-7
Model ArchitecturePhi3ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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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 v20241227