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Index 1.9B Chat by IndexTeam

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  Autotrain compatible   Conversational   Custom code   Index   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/IndexTeam/Index-1.9B-Chat 

Index 1.9B Chat Benchmarks

LLME Score: 0.22125
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Index 1.9B Chat (IndexTeam/Index-1.9B-Chat)

Index 1.9B Chat Parameters and Internals

Model Type 
Dialogue model, Text generation
Use Cases 
Areas:
Research, Practical applications
Applications:
Dialogue systems, Chatbots
Primary Use Cases:
Role-playing customization, Few-shots role-playing
Additional Notes 
A lightweight, open-source version from the Index series models
Supported Languages 
primary_languages (Chinese, English), proficiency (High)
Training Details 
Data Sources:
Internet community corpus
Data Volume:
2.8T corpus
Methodology:
SFT and DPO
Input Output 
Input Format:
Dialogue-based format with role-based input
Accepted Modalities:
Text
Output Format:
Textual dialogue output
Performance Tips:
Use top_k, top_p, temperature, and repetition_penalty for optimized sampling
LLM NameIndex 1.9B Chat
Repository 🤗https://huggingface.co/IndexTeam/Index-1.9B-Chat 
Model Size9b
Required VRAM4.3 GB
Updated2025-02-22
MaintainerIndexTeam
Model Typeindex
Model Files  4.3 GB
Model ArchitectureIndexForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.39.2
Tokenizer ClassIndexTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size65029
Torch Data Typebfloat16

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Rank the Index 1.9B 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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