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Kurage Multilingual by lightblue

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Kurage Multilingual is an open-source language model by lightblue. Features: 7.6b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16.

  Am   Ar   Bg   Bn   Conversational   Cs   Da   De   El   En   Es   Fa   Fi   Fr   Gu   Ha   Hi   Hu   Id   It   Ja   Jv   Kn   Ko   Lt   Mr   Nl   No   Pl   Pt   Qwen2   Rag   Region:us   Ro   Ru   Safetensors   Sharded   Sk   Sv   Sw   Ta   Te   Tensorflow   Th   Tl   Tr   Uk   Ur   Vi   Yo   Zh
Model Card on HF 🤗: https://huggingface.co/lightblue/kurage-multilingual 

Kurage Multilingual Benchmarks

LLME Score: 0.15828
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kurage Multilingual (lightblue/kurage-multilingual)
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Kurage Multilingual Parameters and Internals

Model Type 
text generation
Additional Notes 
Kurage is a multipurpose RAG model trained to perform RAG in 44 languages, with features including Multi-chunk RAG, Single-chunk RAG, Answer extension, Multilingual RAG, and Q&A generation.
Supported Languages 
am (support), ar (support), bg (support), bn (support), cs (support), da (support), de (support), el (support), en (support), es (support), fa (support), fi (support), fr (support), gu (support), ha (support), hi (support), hu (support), id (support), it (support), ja (support), jv (support), kn (support), ko (support), lt (support), mr (support), nl (support), no (support), pl (support), pt (support), ro (support), ru (support), sk (support), sv (support), sw (support), ta (support), te (support), th (support), tl (support), tr (support), uk (support), ur (support), vi (support), yo (support), zh (support)
Training Details 
Data Sources:
MADLAD-400, BAAI/bge-m3
Methodology:
Training on chunks of different token sizes to generate questions and answers, selecting negatives using similarity from dense embeddings.
Hardware Used:
ml.gu7ef.8xlarge-gu100 instance on Platform For AI from Alibaba Cloud
LLM NameKurage Multilingual
Repository 🤗https://huggingface.co/lightblue/kurage-multilingual 
Model Size7.6b
Required VRAM15.2 GB
Updated2026-04-07
Maintainerlightblue
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Supported Languagesam ar bg bn cs da de el en es fa fi fr gu ha hi hu id it ja jv kn ko lt mr nl pl pt ro ru sk sv sw ta te th tl tr uk ur vi yo zh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151648
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than lightblue/kurage-multilingual.

Rank the Kurage Multilingual 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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