Phi 3 Mini 4K Instruct DPO by ryota39

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  Autotrain compatible   Conversational   Custom code   Dataset:llm-jp/hh-rlhf-12k-ja   Dpo   Endpoints compatible   Instruct   Ja   Phi3   Region:us   Safetensors   Sharded   Tensorflow

Phi 3 Mini 4K Instruct DPO 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 DPO (ryota39/Phi-3-mini-4k-instruct-dpo)

Phi 3 Mini 4K Instruct DPO Parameters and Internals

Model Type 
text generation
Additional Notes 
This model was developed as part of the LOCAL AI HACKATHON #001 outcome.
Supported Languages 
ja (fluent)
Training Details 
Data Sources:
llm-jp/hh-rlhf-12k-ja
Methodology:
Full parameter tuning
LLM NamePhi 3 Mini 4K Instruct DPO
Repository ๐Ÿค—https://huggingface.co/ryota39/Phi-3-mini-4k-instruct-dpo 
Model Size3b
Required VRAM7.7 GB
Updated2024-12-21
Maintainerryota39
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesja
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.40.0
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 ryota39/Phi-3-mini-4k-instruct-dpo.

Rank the Phi 3 Mini 4K Instruct DPO 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 v20241217