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Chinese Alpaca 33B Merged by minlik

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Chinese Alpaca 33B Merged is an open-source language model by minlik. Features: 33b LLM, VRAM: 65.6GB, Context: 2K, LLM Explorer Score: 0.11, Arc: 59.3, HellaSwag: 78.4, MMLU: 57.7, GSM8K: 8.

  Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/minlik/chinese-alpaca-33b-merged 

Chinese Alpaca 33B Merged Benchmarks

ARC: 59.3 vs 96.7 (so35)-38.7%
HellaSwag: 78.43 vs 95.3 (gpt4)-17.7%
MMLU: 57.69 vs 88.3 (so35)-34.7%
GSM8K: 8.04 vs 96.4 (so35)-91.7%
LLME Score: 0.10927
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chinese Alpaca 33B Merged (minlik/chinese-alpaca-33b-merged)
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Chinese Alpaca 33B Merged Parameters and Internals

Model Type 
text generation, multilingual
Use Cases 
Areas:
research, multilingual text generation
Applications:
text generation tasks involving Chinese language
Primary Use Cases:
multilingual text generation, question answering in Chinese
Limitations:
performance on non-Chinese tasks may vary, accuracy dependent on instruction prompt clarity
Additional Notes 
The model improved Chinese language capabilities by integrating a Chinese vocabulary and fine-tuning with instruction datasets.
Supported Languages 
Chinese (Advanced)
Training Details 
Methodology:
加入中文词表并继续预训练中文Embedding，并在此基础上继续使用指令数据集finetuning
Input Output 
Input Format:
Text-based prompts
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Ensure prompts are clear and precise for best accuracy
LLM NameChinese Alpaca 33B Merged
Repository 🤗https://huggingface.co/minlik/chinese-alpaca-33b-merged 
Model Size33b
Required VRAM65.6 GB
Updated2026-05-20
Maintainerminlik
Model Typellama
Model Files  9.8 GB: 1-of-7   9.9 GB: 2-of-7   10.0 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   9.9 GB: 6-of-7   6.2 GB: 7-of-7   9.8 GB: 1-of-7   9.9 GB: 2-of-7   10.0 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   9.9 GB: 6-of-7   6.2 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.1
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-33b-merged.

Rank the Chinese Alpaca 33B 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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