Chinese Alpaca Plus 33B Merged by minlik

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Chinese Alpaca Plus 33B Merged Benchmarks

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

Chinese Alpaca Plus 33B Merged Parameters and Internals

Model Type 
Language Generation
Supported Languages 
Chinese (Advanced)
Training Details 
Methodology:
加入中文词表,继续预训练中文Embedding并使用指令数据集进行finetuning。
Input Output 
Input Format:
Prompt containing instructions and questions.
Accepted Modalities:
text
Output Format:
Generated text response.
Performance Tips:
Ensure you are using a CUDA-enabled GPU for optimal performance.
LLM NameChinese Alpaca Plus 33B Merged
Repository 🤗https://huggingface.co/minlik/chinese-alpaca-plus-33b-merged 
Model Size33b
Required VRAM65.9 GB
Updated2025-06-17
Maintainerminlik
Model Typellama
Model Files  10.1 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   6.1 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size49954
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than minlik/chinese-alpaca-plus-33b-merged.

Rank the Chinese Alpaca Plus 33B Merged 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 v20241124