Chinese Alpaca 7B Merged by minlik

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Chinese Alpaca 7B 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 7B Merged (minlik/chinese-alpaca-7b-merged)

Chinese Alpaca 7B Merged Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial Applications
Primary Use Cases:
Text generation in Chinese
Additional Notes 
Model intended for Chinese language text generation tasks.
Supported Languages 
Chinese (high)
Training Details 
Methodology:
加入中文词表并预训练中文Embedding,然后使用指令数据集进行finetuning
Input Output 
Input Format:
Instruction-based text prompt
Accepted Modalities:
text
Output Format:
Generated text completion
LLM NameChinese Alpaca 7B Merged
Repository 🤗https://huggingface.co/minlik/chinese-alpaca-7b-merged 
Model Size7b
Required VRAM13.7 GB
Updated2025-06-01
Maintainerminlik
Model Typellama
Model Files  9.9 GB: 1-of-2   3.8 GB: 2-of-2   9.9 GB: 1-of-2   3.8 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.0.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-7b-merged.

Rank the Chinese Alpaca 7B 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 v20241227