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Llama 3 Instruct 8B SPPO Iter1 by UCLA-AGI

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  3817   
  Arxiv:2405.00675   Autotrain compatible   Conversational   Dataset:openbmb/ultrafeedback   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1 

Llama 3 Instruct 8B SPPO Iter1 Benchmarks

MMLU Pro: 30.12
GPQA: 2.35
MUSR: 2.17
BBH: 29.49
IFEval: 72.99 vs 88 (so35)-17.1%
MATH Lvl 5: 11.48
LLME Score: 0.30327
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 Iter1 (UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1)

Llama 3 Instruct 8B SPPO Iter1 Parameters and Internals

Model Type 
text generation, GPT-like
Supported Languages 
en (primary)
Training Details 
Data Sources:
openbmb/UltraFeedback, snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
Methodology:
Self-Play Preference Optimization
Training Time:
1 epoch (stopped at epoch=1.0)
Hardware Used:
8 devices, distributed_type: deepspeed_zero3
Model Architecture:
GPT-like model fine-tuned on synthetic datasets
LLM NameLlama 3 Instruct 8B SPPO Iter1
Repository 🤗https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1 
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 Version4.41.2
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-Iter1.

Rank the Llama 3 Instruct 8B SPPO Iter1 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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