MambaByte Arxiv by JunxiongWang

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MambaByte Arxiv is an open-source language model by JunxiongWang. Features: LLM, VRAM: 1.5GB, License: apache-2.0, LLM Explorer Score: 0.12.

  Arxiv:2401.13660   Endpoints compatible   Pytorch   Region:us

MambaByte Arxiv Benchmarks

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

MambaByte Arxiv Parameters and Internals

Model Type 
text-generation
Training Details 
Data Volume:
30 billion bytes
LLM NameMambaByte Arxiv
Repository 🤗https://huggingface.co/JunxiongWang/MambaByte_Arxiv 
Required VRAM1.5 GB
Updated2026-07-09
MaintainerJunxiongWang
Model Files  1.5 GB
Model ArchitectureAutoModel
Licenseapache-2.0
Vocabulary Size256

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Rank the MambaByte Arxiv 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 v20260328a