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Rwkv 6 World 3B by RWKV

 »  All LLMs  »  RWKV  »  Rwkv 6 World 3B   URL Share it on

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  Autotrain compatible   Custom code   Pytorch   Region:us   Rwkv6
Model Card on HF 🤗: https://huggingface.co/RWKV/rwkv-6-world-3b 

Rwkv 6 World 3B Benchmarks

LLME Score: 0.17964
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rwkv 6 World 3B (RWKV/rwkv-6-world-3b)

Rwkv 6 World 3B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, education, creative writing, question answering
Applications:
interactive AI assistants, content generation
Primary Use Cases:
General information querying, Article and story creation
Limitations:
May not perform well with highly technical or niche topics
Considerations:
Advised to evaluate outputs critically due to potential for biases inherent in training data.
Additional Notes 
Adaptable for various text generation applications.
Supported Languages 
Chinese (native), English (high)
Training Details 
Data Sources:
unspecified
Methodology:
General-purpose language model training techniques
Context Length:
4096
Hardware Used:
GPUs used for original training unspecified
Model Architecture:
Causal language model
Input Output 
Input Format:
Instructional prompts with optional input text
Accepted Modalities:
text
Output Format:
Generated text response
Performance Tips:
Ensure clear and concise prompts for better responses
LLM NameRwkv 6 World 3B
Repository 🤗https://huggingface.co/RWKV/rwkv-6-world-3b 
Model Size3b
Required VRAM6.2 GB
Updated2025-02-22
MaintainerRWKV
Model Typerwkv6
Model Files  6.2 GB
Model ArchitectureRwkv6ForCausalLM
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-6-world-3b.

Rank the Rwkv 6 World 3B 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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