Kurage En by lightblue

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Model Card on HF ๐Ÿค—: https://huggingface.co/lightblue/kurage-en 

Kurage En Benchmarks

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

Kurage En Parameters and Internals

Model Type 
text generation, retrieval-augmented generation (RAG)
Additional Notes 
Known issue with single-chunk RAG being conservative in answering.
Supported Languages 
en (RAG in English)
Training Details 
Data Sources:
MADLAD-400 dataset, BAAI/bge-m3 model for embedding similarity
Methodology:
RAG with multi-chunk, single-chunk, multilingual capabilities
Hardware Used:
ml.gu7ef.8xlarge-gu100 instance from Alibaba Cloud
LLM NameKurage En
Repository ๐Ÿค—https://huggingface.co/lightblue/kurage-en 
Model Size7.6b
Required VRAM15.2 GB
Updated2025-01-15
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 Languagesen
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-en.

Rank the Kurage En Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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