RakutenAI 7B Instruct by Rakuten

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  Arxiv:2403.15484   Autotrain compatible Base model:finetune:rakuten/ra... Base model:rakuten/rakutenai-7...   En   Endpoints compatible   Instruct   Ja   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

RakutenAI 7B Instruct 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 Instruct (Rakuten/RakutenAI-7B-instruct)

RakutenAI 7B Instruct Parameters and Internals

Model Type 
Instruction-based
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Japanese language understanding, English language tasks
Limitations:
Can produce biased, inaccurate, or unsafe outputs
Considerations:
Exercise caution and judgment while interacting with the model
Additional Notes 
The model's vocabulary was increased to improve Japanese token representation.
Supported Languages 
Japanese (Excellent), English (Good)
Training Details 
Data Sources:
JSNLI, RTE, KUCI, BELEBELE, JCS, JNLI, Dolly-15K, OpenAssistant1
Methodology:
Fine-tuned using open source and internally hand-crafted datasets
Model Architecture:
Usage of Mistral model architecture with extended vocabulary from 32k to 48k
LLM NameRakutenAI 7B Instruct
Repository ๐Ÿค—https://huggingface.co/Rakuten/RakutenAI-7B-instruct 
Base Model(s)  RakutenAI 7B   Rakuten/RakutenAI-7B
Model Size7b
Required VRAM14.8 GB
Updated2025-02-22
MaintainerRakuten
Model Typemistral
Instruction-BasedYes
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

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

Rank the RakutenAI 7B Instruct 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 v20241227