Baichuan 7B Chat by csdc-atl

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  Autotrain compatible   Baichuan   Custom code   Endpoints compatible   Pytorch   Region:us   Sharded   Zh

Baichuan 7B Chat 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 Chat (csdc-atl/baichuan-7B-chat)

Baichuan 7B Chat Parameters and Internals

Model Type 
multimodal
Additional Notes 
在面对事实性知识任务时,可能会生成不正确的信息或者产生不稳定的输出。
Supported Languages 
zh (fluent)
Training Details 
Data Sources:
私有对话指令数据
Methodology:
微调
LLM NameBaichuan 7B Chat
Repository 🤗https://huggingface.co/csdc-atl/baichuan-7B-chat 
Model Size7b
Required VRAM14 GB
Updated2024-12-26
Maintainercsdc-atl
Model Typebaichuan
Model Files  10.0 GB: 1-of-2   4.0 GB: 2-of-2
Supported Languageszh
Model ArchitectureBaiChuanForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.29.0.dev0
Tokenizer ClassBaiChuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size64001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than csdc-atl/baichuan-7B-chat.

Rank the Baichuan 7B Chat 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