Llama 3 Instruct 8B SPPO Iter2 by UCLA-AGI

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  Arxiv:2405.00675   Autotrain compatible   Conversational   Dataset:openbmb/ultrafeedback   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded

Llama 3 Instruct 8B SPPO Iter2 Benchmarks

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 ๐Ÿค—https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
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.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227