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Llama 3 Instruct 8B SPPO Iter2 by UCLA-AGI

 »  All LLMs  »  UCLA-AGI  »  Llama 3 Instruct 8B SPPO Iter2   URL Share it on

  5541   
  Arxiv:2405.00675   Autotrain compatible   Conversational   Dataset:openbmb/ultrafeedback   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2 

Llama 3 Instruct 8B SPPO Iter2 Benchmarks

MMLU Pro: 29.91
GPQA: 2.24
MUSR: 2
BBH: 29.87
IFEval: 69.89 vs 88 (so35)-20.6%
MATH Lvl 5: 10.35
LLME Score: 0.3058
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Instruct 8B SPPO Iter2 (UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2)

Llama 3 Instruct 8B SPPO Iter2 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text generation
Supported Languages 
English (primarily)
Training Details 
Data Sources:
openbmb/UltraFeedback, snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
Methodology:
Self-Play Preference Optimization at iteration 2
Model Architecture:
Based on Meta-Llama-3-8B-Instruct architecture
Input Output 
Accepted Modalities:
text
LLM NameLlama 3 Instruct 8B SPPO Iter2
Repository 🤗https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerUCLA-AGI
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.33.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2.

Rank the Llama 3 Instruct 8B SPPO Iter2 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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