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Educhat Sft 002 13B Baichuan by ecnu-icalk

 »  All LLMs  »  ecnu-icalk  »  Educhat Sft 002 13B Baichuan   URL Share it on

  15   
  Autotrain compatible   Baichuan   Custom code   Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/ecnu-icalk/educhat-sft-002-13b-baichuan 

Educhat Sft 002 13B Baichuan Benchmarks

LLME Score: 0.1193
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Educhat Sft 002 13B Baichuan (ecnu-icalk/educhat-sft-002-13b-baichuan)

Educhat Sft 002 13B Baichuan Parameters and Internals

Model Type 
text generation
Additional Notes 
Usage instructions include cloning the repository locally and placing weights from the provided Baidu Netdisk link into the cloned folder. Usage methods refer to Baichuan model guidelines.
LLM NameEduchat Sft 002 13B Baichuan
Repository 🤗https://huggingface.co/ecnu-icalk/educhat-sft-002-13b-baichuan 
Model Size13b
Required VRAM3.8 GB
Updated2025-04-28
Maintainerecnu-icalk
Model Typebaichuan
Model Files  3.8 GB: 6-of-6
Model ArchitectureBaichuanForCausalLM
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassBaichuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size64016
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than ecnu-icalk/educhat-sft-002-13b-baichuan.

Rank the Educhat Sft 002 13B Baichuan 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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Release v20241227
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