Rwkv 5 World 3B by RWKV

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  Autotrain compatible   Custom code   Pytorch   Region:us   Rwkv5
Model Card on HF ๐Ÿค—: https://huggingface.co/RWKV/rwkv-5-world-3b 

Rwkv 5 World 3B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rwkv 5 World 3B (RWKV/rwkv-5-world-3b)
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Rwkv 5 World 3B Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is tailored for interactive, real-time text generation tasks, thriving in multilingual contexts.
Supported Languages 
Chinese (fluent), English (fluent)
Training Details 
Data Sources:
Diverse text corpora
Methodology:
Auto-regressive text generation model based on transformed neural net theory.
Model Architecture:
Transformers-based architecture with enhancements in attention mechanisms.
Input Output 
Input Format:
Text prompts structured as question-response pairs or simple instructions.
Accepted Modalities:
text
Output Format:
Textual responses, ideally handling varying contextual and interactive prompts.
Performance Tips:
Consider batching requests for GPU inference to optimize performance.
LLM NameRwkv 5 World 3B
Repository ๐Ÿค—https://huggingface.co/RWKV/rwkv-5-world-3b 
Model Size3b
Required VRAM3.2 GB
Updated2025-09-22
MaintainerRWKV
Model Typerwkv5
Model Files  3.2 GB
Model ArchitectureRwkv5ForCausalLM
Transformers Version4.34.0
Tokenizer ClassRwkv5Tokenizer
Vocabulary Size65536

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Note: green Score (e.g. "73.2") means that the model is better than RWKV/rwkv-5-world-3b.

Rank the Rwkv 5 World 3B 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 v20241124