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Phi 3 Mini 4K ORPO by rishiraj

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  4bit Base model:adapter:unsloth/phi... Base model:unsloth/phi-3-mini-...   Code   Conversational Dataset:reciperesearch/dolphin...   En   Instruct   Mistral   Peft   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/rishiraj/Phi-3-mini-4k-ORPO 

Phi 3 Mini 4K ORPO Benchmarks

LLME Score: 0.15687
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 ORPO (rishiraj/Phi-3-mini-4k-ORPO)
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Phi 3 Mini 4K ORPO Parameters and Internals

Model Type 
text generation
Additional Notes 
Designed for high-quality and reasoning dense properties
Supported Languages 
en (high)
Training Details 
Data Sources:
synthetic data, filtered publicly available websites data
Input Output 
Input Format:
Chat format with instructions, input, and expected response
Accepted Modalities:
text
Output Format:
Text generation output
LLM NamePhi 3 Mini 4K ORPO
Repository 🤗https://huggingface.co/rishiraj/Phi-3-mini-4k-ORPO 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Required VRAM7.6 GB
Updated2025-08-18
Maintainerrishiraj
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

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

Rank the Phi 3 Mini 4K ORPO 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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Release v20241124
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