Baichuan 7B Instruction by AlpachinoNLP

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  Arxiv:2009.03300   Arxiv:2307.00360   Autotrain compatible   Baichuan   Custom code   En   Endpoints compatible   Instruct   Pytorch   Region:us   Sharded   Zh

Baichuan 7B Instruction Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Baichuan 7B Instruction (AlpachinoNLP/Baichuan-7B-Instruction)

Baichuan 7B Instruction Parameters and Internals

Model Type 
text-generation
Supported Languages 
zh (High), en (High)
Training Details 
Data Sources:
https://huggingface.co/datasets/shareAI/ShareGPT-Chinese-English-90k
Methodology:
Instruction fine-tuning
Hardware Used:
8 * A40
Input Output 
Input Format:
Formatted prompts with history
Accepted Modalities:
text
Output Format:
Text-generated responses
Performance Tips:
For improved performance, consider using quantization methods like int8 or int4.
LLM NameBaichuan 7B Instruction
Repository ๐Ÿค—https://huggingface.co/AlpachinoNLP/Baichuan-7B-Instruction 
Model Size7b
Required VRAM14 GB
Updated2025-04-19
MaintainerAlpachinoNLP
Model Typebaichuan
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   4.0 GB: 2-of-4   3.9 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languageszh en
Model ArchitectureBaiChuanForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.29.2
Tokenizer ClassBaiChuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

Rank the Baichuan 7B Instruction 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