REBEL Llama 3 by Cornell-AGI

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REBEL Llama 3 is an open-source language model by Cornell-AGI. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:2404.16767 Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   Dataset:openbmb/ultrafeedback   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded

REBEL Llama 3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

REBEL Llama 3 Parameters and Internals

Model Type 
text generation
Additional Notes 
Inspired by REBEL framework; utilizes FsfairX-LLaMA3-RM-v0.1 as reward model
Supported Languages 
en (proficient)
Training Details 
Data Sources:
UltraFeedback
Methodology:
Reinforcement Learning via Regressing Relative Rewards (REBEL)
Model Architecture:
As implemented in Meta-Llama-3-8B-Instruct
LLM NameREBEL Llama 3
Repository 🤗https://huggingface.co/Cornell-AGI/REBEL-Llama-3 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2026-05-11
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

Best Alternatives to REBEL Llama 3

Best Alternatives
Context / RAM
Downloads
Likes
...otron 8B UltraLong 4M Instruct4192K / 32.1 GB156119
UltraLong Thinking4192K / 16.1 GB103
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB11917
Cthulhu 8B V1.41048K / 16.1 GB129
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB205957
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
Zero Llama 3.1 8B Beta61048K / 16.1 GB41
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB113
Note: green Score (e.g. "73.2") means that the model is better than Cornell-AGI/REBEL-Llama-3.

Rank the REBEL Llama 3 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20260328a