Coder Phi 3 Mini 4K Instruct by candenizkocak

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Coder Phi 3 Mini 4K Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Coder Phi 3 Mini 4K Instruct (candenizkocak/coder-Phi-3-mini-4k-instruct)

Coder Phi 3 Mini 4K Instruct Parameters and Internals

Additional Notes 
This model is fine-tuned to better answer questions related to programming.
Training Details 
Data Sources:
m-a-p/Code-Feedback
Methodology:
Fine-tuning by making small modifications on sample_finetune.py
Hardware Used:
A100 on Google Colab
LLM NameCoder Phi 3 Mini 4K Instruct
Repository ๐Ÿค—https://huggingface.co/candenizkocak/coder-Phi-3-mini-4k-instruct 
Model Size3.8b
Required VRAM7.7 GB
Updated2025-02-22
Maintainercandenizkocak
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Generates CodeYes
Model ArchitecturePhi3ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32064
Torch Data Typebfloat16

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

Rank the Coder Phi 3 Mini 4K Instruct 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 v20241227