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Japanese Mpt 7B by lightblue

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  2527   
  Autotrain compatible   Custom code   Endpoints compatible   Mpt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lightblue/japanese-mpt-7b 

Japanese Mpt 7B Benchmarks

LLME Score: 0.11769
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Japanese Mpt 7B (lightblue/japanese-mpt-7b)
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Japanese Mpt 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
To run the model efficiently, loading in 8-bit or 4-bit precision is recommended for T4 GPUs.
Training Details 
Data Sources:
mC4 (Japanese subset)
Methodology:
Trained for 3000 steps on top of the MPT 7b checkpoint
LLM NameJapanese Mpt 7B
Repository 🤗https://huggingface.co/lightblue/japanese-mpt-7b 
Model Size7b
Required VRAM13.3 GB
Updated2025-09-23
Maintainerlightblue
Model Typempt
Model Files  9.9 GB: 1-of-2   3.4 GB: 2-of-2
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lightblue/japanese-mpt-7b.

Rank the Japanese Mpt 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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Release v20241124
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