Baichuan 7B Sharded by reedhs

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

Baichuan 7B Sharded 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 Sharded (reedhs/baichuan-7b-sharded)

Baichuan 7B Sharded Parameters and Internals

LLM NameBaichuan 7B Sharded
Repository ๐Ÿค—https://huggingface.co/reedhs/baichuan-7b-sharded 
Model Size7b
Required VRAM13.9 GB
Updated2025-04-19
Maintainerreedhs
Model Typebaichuan
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.8 GB: 7-of-8   0.5 GB: 8-of-8
Model ArchitectureBaiChuanForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.30.2
Tokenizer ClassBaiChuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than reedhs/baichuan-7b-sharded.

Rank the Baichuan 7B Sharded 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