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Phi 3 Mini LoRA by edumunozsala

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  Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-3-min...   Code   Conversational Dataset:iamtarun/python code i...   Finetuned   Generated from trainer   Instruct   Lora   Peft   Python   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/edumunozsala/phi-3-mini-LoRA 

Phi 3 Mini LoRA Benchmarks

LLME Score: 0.18321
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 LoRA (edumunozsala/phi-3-mini-LoRA)

Phi 3 Mini LoRA Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text-generation, coding assistance
Applications:
code generation, automated programming assistance
Primary Use Cases:
generating Python code from natural language instructions
Additional Notes 
The model is fine-tuned on a specific dataset with a focus on coding tasks.
Training Details 
Data Sources:
python_code_instructions_18k_alpaca
Methodology:
LoRA
Context Length:
4000
Input Output 
Input Format:
Chat format with user-assistant token pairs
Accepted Modalities:
text
Output Format:
Generated text after assistant token
LLM NamePhi 3 Mini LoRA
Repository 🤗https://huggingface.co/edumunozsala/phi-3-mini-LoRA 
Base Model(s)  Phi 3 Mini 4K Instruct   microsoft/Phi-3-mini-4k-instruct
Required VRAM0 GB
Updated2025-02-22
Maintaineredumunozsala
Instruction-BasedYes
Model Files  0.0 GB   0.0 GB
Model ArchitectureAdapter
Licensemit
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|up_proj|down_proj|o_proj|gate_proj|v_proj|q_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than edumunozsala/phi-3-mini-LoRA.

Rank the Phi 3 Mini LoRA Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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