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Chinese Alpaca 13B Merged by minlik

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Chinese Alpaca 13B Merged is an open-source language model by minlik. Features: 13b LLM, VRAM: 26.5GB, Context: 2K, LLM Explorer Score: 0.07.

  Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/minlik/chinese-alpaca-13b-merged 

Chinese Alpaca 13B Merged Benchmarks

LLME Score: 0.06724
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chinese Alpaca 13B Merged (minlik/chinese-alpaca-13b-merged)
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Chinese Alpaca 13B 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 13B Merged
Repository 🤗https://huggingface.co/minlik/chinese-alpaca-13b-merged 
Model Size13b
Required VRAM26.5 GB
Updated2026-04-09
Maintainerminlik
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.7 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.7 GB: 3-of-3
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-13b-merged.

Rank the Chinese Alpaca 13B Merged 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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