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Baichuan2 7B PoSE YaRN 16K by dwzhu

 »  All LLMs  »  dwzhu  »  Baichuan2 7B PoSE YaRN 16K   URL Share it on

  15   
  Arxiv:2309.10400   Autotrain compatible   Baichuan   Custom code   Endpoints compatible   Pytorch   Region:us   Sharded   Yarn
Model Card on HF 🤗: https://huggingface.co/dwzhu/Baichuan2-7B-PoSE-YaRN-16k 

Baichuan2 7B PoSE YaRN 16K Benchmarks

LLME Score: 0.13572
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Baichuan2 7B PoSE YaRN 16K (dwzhu/Baichuan2-7B-PoSE-YaRN-16k)

Baichuan2 7B PoSE YaRN 16K Parameters and Internals

Model Type 
text generation
Additional Notes 
This work is built upon LLaMA, GPT-J, and Baichuan as the pre-trained models.
LLM NameBaichuan2 7B PoSE YaRN 16K
Repository 🤗https://huggingface.co/dwzhu/Baichuan2-7B-PoSE-YaRN-16k 
Model Size7b
Required VRAM15 GB
Updated2025-02-22
Maintainerdwzhu
Model Typebaichuan
Model Files  9.9 GB: 1-of-2   5.1 GB: 2-of-2
Model ArchitectureBaichuanForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Tokenizer ClassBaichuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size125696
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than dwzhu/Baichuan2-7B-PoSE-YaRN-16k.

Rank the Baichuan2 7B PoSE YaRN 16K 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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