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OrpoLlama 3 8B by mlabonne

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OrpoLlama 3 8B is an open-source language model by mlabonne. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: other, HF Score: 64, LLM Explorer Score: 0.19, Arc: 59.1, HellaSwag: 82.4, MMLU: 65.8, TruthfulQA: 52.4, WinoGrande: 78.3, GSM8K: 45.9.

  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:mlabonne/orpo-dpo-mix-...   En   Endpoints compatible   Llama   Llama 3   Orpo   Region:us   Rlhf   Safetensors   Sft   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/OrpoLlama-3-8B 

OrpoLlama 3 8B Benchmarks

MMLU Pro: 18.95
GPQA: 3.91
MUSR: 4.01
BBH: 21.95
IFEval: 36.53 vs 88 (so35)-58.5%
ARC: 59.13 vs 96.7 (so35)-38.9%
HellaSwag: 82.41 vs 95.3 (gpt4)-13.5%
MMLU: 65.76 vs 88.3 (so35)-25.5%
TruthfulQA: 52.4 vs 59 (gpt4)-11.2%
WinoGrande: 78.3 vs 87.5 (gpt4)-10.5%
GSM8K: 45.94 vs 96.4 (so35)-52.3%
MATH Lvl 5: 5.59
LLME Score: 0.19414
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OrpoLlama 3 8B (mlabonne/OrpoLlama-3-8B)
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OrpoLlama 3 8B Parameters and Internals

Model Type 
fine-tuned, ORPO
Use Cases 
Areas:
research, commercial applications
Applications:
language understanding, text generation
Primary Use Cases:
chatbots, language modeling
Additional Notes 
Quantized models available for optimized performance.
Training Details 
Data Sources:
mlabonne/orpo-dpo-mix-40k
Methodology:
ChatML template
Context Length:
8000
Input Output 
Input Format:
Chat format with 'user' and 'content' roles.
Accepted Modalities:
text
Output Format:
Generated text based on input prompts.
Performance Tips:
Utilize specified model quantizations for optimized performance.
LLM NameOrpoLlama 3 8B
Repository 🤗https://huggingface.co/mlabonne/OrpoLlama-3-8B 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
Maintainermlabonne
Model Typellama
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
Vocabulary Size128258
Torch Data Typefloat16

Quantized Models of the OrpoLlama 3 8B

Model
Likes
Downloads
VRAM
OrpoLlama 3 8B AWQ395 GB

Best Alternatives to OrpoLlama 3 8B

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Context / RAM
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...otron 8B UltraLong 4M Instruct4192K / 32.1 GB89119
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UltraLong Thinking4192K / 16.1 GB93
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB4017
Cthulhu 8B V1.41048K / 16.1 GB139
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB344055
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
...xis Bookwriter Llama3.1 8B Sft1048K / 16.1 GB124
Zero Llama 3.1 8B Beta61048K / 16.1 GB51
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/OrpoLlama-3-8B.

Rank the OrpoLlama 3 8B 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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