RakutenAI 7B by Rakuten

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  Arxiv:2403.15484   Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

RakutenAI 7B Benchmarks

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

RakutenAI 7B Parameters and Internals

LLM NameRakutenAI 7B
Repository ๐Ÿค—https://huggingface.co/Rakuten/RakutenAI-7B 
Model Size7b
Required VRAM14.8 GB
Updated2024-09-16
MaintainerRakuten
Model Typemistral
Model Files  10.0 GB: 1-of-2   4.8 GB: 2-of-2   10.0 GB: 1-of-2   4.8 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size48000
Torch Data Typebfloat16
RakutenAI 7B (Rakuten/RakutenAI-7B)

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Note: green Score (e.g. "73.2") means that the model is better than Rakuten/RakutenAI-7B.

Rank the RakutenAI 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803