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Selfrag Zh Baichuan2 7B Chat by Aman

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  Autotrain compatible   Baichuan   Baichuan2   Custom code   Endpoints compatible   Pytorch   Rag   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Aman/selfrag-zh_baichuan2_7b_chat 

Selfrag Zh Baichuan2 7b Chat Benchmarks

LLME Score: 0.17112
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Selfrag Zh Baichuan2 7B Chat (Aman/selfrag-zh_baichuan2_7b_chat)

Selfrag Zh Baichuan2 7B Chat Parameters and Internals

Model Type 
Text Generation, RAG
Additional Notes 
The model aligns reflection tokens with the English original, and includes a 'critic model' that requires further refinement based on critic data quality.
Supported Languages 
Chinese (High proficiency)
Training Details 
Data Sources:
belle SFT data, Wikipedia Chinese docs
Data Volume:
4w.jsonl
Methodology:
Self-RAG based training
Model Architecture:
7B parameter model architecture
Input Output 
Input Format:
Text prompts with optional retrieval-enhanced input
Accepted Modalities:
Text
Output Format:
Text sequences
Performance Tips:
Use original generate method of transformers for best accuracy
LLM NameSelfrag Zh Baichuan2 7b Chat
Repository 🤗https://huggingface.co/Aman/selfrag-zh_baichuan2_7b_chat 
Model Size7b
Required VRAM15 GB
Updated2025-02-22
MaintainerAman
Model Typebaichuan
Model Files  9.9 GB: 1-of-2   5.1 GB: 2-of-2
Model ArchitectureBaichuanForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.33.0
Tokenizer ClassBaichuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size125711
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Aman/selfrag-zh_baichuan2_7b_chat.

Rank the Selfrag Zh Baichuan2 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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Release v20241227
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