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Phi 3.1 EvolKit Lora by bunnycore

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  4bit   Dataset:arcee-ai/evolkit-20k   En   Endpoints compatible   Instruct   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/bunnycore/Phi-3.1-EvolKit-lora 

Phi 3.1 EvolKit Lora Benchmarks

LLME Score: 0.17708
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3.1 EvolKit Lora (bunnycore/Phi-3.1-EvolKit-lora)
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Phi 3.1 EvolKit Lora Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (Proficient)
LLM NamePhi 3.1 EvolKit Lora
Repository 🤗https://huggingface.co/bunnycore/Phi-3.1-EvolKit-lora 
Base Model(s)  unsloth/phi-3.5-mini-instruct-bnb-4bit   unsloth/phi-3.5-mini-instruct-bnb-4bit
Required VRAM0.1 GB
Updated2025-09-23
Maintainerbunnycore
Instruction-BasedYes
Model Files  0.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|v_proj|up_proj|q_proj|o_proj|gate_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Phi-3.1-EvolKit-lora.

Rank the Phi 3.1 EvolKit Lora 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 v20241124
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