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REBEL Llama 3 Epoch 2 by Cornell-AGI

 »  All LLMs  »  Cornell-AGI  »  REBEL Llama 3 Epoch 2   URL Share it on

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  Arxiv:2404.16767   Autotrain compatible   Conversational   Dataset:openbmb/ultrafeedback   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Cornell-AGI/REBEL-Llama-3-epoch_2 

REBEL Llama 3 Epoch 2 Benchmarks

LLME Score: 0.1726
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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REBEL Llama 3 Epoch 2 Parameters and Internals

Model Type 
text generation
Additional Notes 
Developed using REBEL and trained with UltraFeedback dataset.
Supported Languages 
en (Fluent)
Training Details 
Data Sources:
UltraFeedback
Methodology:
Reinforcement Learning via Regressing Relative Rewards
LLM NameREBEL Llama 3 Epoch 2
Repository 🤗https://huggingface.co/Cornell-AGI/REBEL-Llama-3-epoch_2 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-10
MaintainerCornell-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 Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[PAD]
Vocabulary Size128256
Torch Data Typebfloat16
REBEL Llama 3 Epoch 2 (Cornell-AGI/REBEL-Llama-3-epoch_2)

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...otron 8B UltraLong 4M Instruct4192K / 32.1 GB3395108
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Zero Llama 3.1 8B Beta61048K / 16.1 GB10941
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....1 1million Ctx Dark Planet 8B1048K / 32.3 GB932
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB233
Note: green Score (e.g. "73.2") means that the model is better than Cornell-AGI/REBEL-Llama-3-epoch_2.

Rank the REBEL Llama 3 Epoch 2 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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Release v20241124
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