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Phi 3 Orpo V8.16 by cstr

 »  All LLMs  »  cstr  »  Phi 3 Orpo V8.16   URL Share it on

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  Autotrain compatible Base model:finetune:vonjack/ph... Base model:vonjack/phi-3-mini-...   Conversational   De   En   Endpoints compatible   Instruct   Llama   Orpo   Pytorch   Region:us   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/cstr/phi-3-orpo-v8_16 

Phi 3 Orpo V8.16 Benchmarks

LLME Score: 0.17911
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Orpo V8.16 (cstr/phi-3-orpo-v8_16)

Phi 3 Orpo V8.16 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
Experiment with Unsloth and Huggingface's TRL library
Supported Languages 
en (unknown), de (unknown)
Training Details 
Data Sources:
German dataset
Methodology:
Only 150 orpo steps
Training Time:
2x faster
Model Architecture:
LLaMA
LLM NamePhi 3 Orpo V8.16
Repository 🤗https://huggingface.co/cstr/phi-3-orpo-v8_16 
Base Model(s)  ...i 3 Mini 4K Instruct LLaMAfied   vonjack/Phi-3-mini-4k-instruct-LLaMAfied
Required VRAM7.6 GB
Updated2025-03-12
Maintainercstr
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen de
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
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 cstr/phi-3-orpo-v8_16.

Rank the Phi 3 Orpo V8.16 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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Release v20241227
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