Phi 3 Mini 4K Instruct Bnb 4bit by unsloth

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Phi 3 Mini 4K Instruct Bnb 4bit 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 Bnb 4bit (unsloth/Phi-3-mini-4k-instruct-bnb-4bit)

Phi 3 Mini 4K Instruct Bnb 4bit Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
research, commercial applications
Applications:
language generation, chat models
Primary Use Cases:
ShareGPT ChatML, Vicuna templates
Limitations:
unsuitable for non-text inputs
Additional Notes 
Using Unsloth for fine-tuning models like Phi-3.5 enhances performance by reducing memory usage by 50% and finetuning 2x faster.
Training Details 
Methodology:
fine-tuning
Hardware Used:
Colab Tesla T4, Kaggle 2x T4s
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
generated text
LLM NamePhi 3 Mini 4K Instruct Bnb 4bit
Repository ๐Ÿค—https://huggingface.co/unsloth/Phi-3-mini-4k-instruct-bnb-4bit 
Model Size2.1b
Required VRAM2.3 GB
Updated2024-12-22
Maintainerunsloth
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
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 v20241217