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Orca Llama 3 8B Instruct DPO by RDson

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  Autotrain compatible   Conversational   Dataset:intel/orca dpo pairs   Dpo   Endpoints compatible   Instruct   Llama   Llama 3   Orca   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RDson/Orca-Llama-3-8B-Instruct-DPO 

Orca Llama 3 8B Instruct DPO Benchmarks

LLME Score: 0.15045
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca Llama 3 8B Instruct DPO (RDson/Orca-Llama-3-8B-Instruct-DPO)
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Orca Llama 3 8B Instruct DPO Parameters and Internals

Model Type 
text-generation
Additional Notes 
Data formatted using the ChatML template. Optimizer used: paged_adamw_8bit.
Training Details 
Data Sources:
Intel/orca_dpo_pairs
Methodology:
DPO (Distillation with Pre-training and Optimization)
Context Length:
1024
Hardware Used:
single 3090 24GB GPU
Model Architecture:
Based on Llama 3
LLM NameOrca Llama 3 8B Instruct DPO
Repository 🤗https://huggingface.co/RDson/Orca-Llama-3-8B-Instruct-DPO 
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
MaintainerRDson
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
Vocabulary Size128258
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than RDson/Orca-Llama-3-8B-Instruct-DPO.

Rank the Orca Llama 3 8B 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 v20241124
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