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RWKV 4 World 1.5B by StarRing2022

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  Endpoints compatible   Pytorch   Region:us   Rwkv
Model Card on HF 🤗: https://huggingface.co/StarRing2022/RWKV-4-World-1.5B 

RWKV 4 World 1.5B Benchmarks

LLME Score: 0.0951
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RWKV 4 World 1.5B (StarRing2022/RWKV-4-World-1.5B)
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RWKV 4 World 1.5B Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Conversational Agents, Text Generation
Primary Use Cases:
Question Answering
Additional Notes 
Bugfix applied to Forward RWKVOutput for improved handling of last_hidden_state.
Supported Languages 
primary (Chinese), additional ()
Input Output 
Input Format:
Encoded question text as input
Accepted Modalities:
text
Output Format:
Generated text tokens
LLM NameRWKV 4 World 1.5B
Repository 🤗https://huggingface.co/StarRing2022/RWKV-4-World-1.5B 
Model Size1.5b
Required VRAM3.2 GB
Updated2025-08-20
MaintainerStarRing2022
Model Typerwkv
Model Files  3.2 GB
Model ArchitectureAutoModel
Licenseapache-2.0
Transformers Version4.29.0
Vocabulary Size65536

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Note: green Score (e.g. "73.2") means that the model is better than StarRing2022/RWKV-4-World-1.5B.

Rank the RWKV 4 World 1.5B 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 v20241124
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