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RWKV-LM

14,081
965
Python

Project Description

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

RWKV-LM: RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained li

Project Title

RWKV-LM — A High-Performance Linear-Time RNN with Transformer Capabilities

Overview

RWKV-LM is an innovative RNN model that combines the strengths of both RNNs and transformers, offering great performance, linear time complexity, constant space usage, and fast training capabilities. It is designed to be parallelizable and suitable for large language models (LLMs) and multimodal applications. RWKV-LM stands out for its ability to train directly like a GPT transformer, providing infinite context length and free sentence embedding.

Key Features

  • Linear-time and constant-space architecture without kv-cache
  • Attention-free and 100% RNN architecture
  • PreLN LayerNorm for better initial state management
  • Meta-in-context learner with test-time-training capabilities
  • Scalable and stable model architecture

Use Cases

  • Use case 1: Large language models requiring high performance and scalability
  • Use case 2: Multimodal applications that benefit from the model's flexibility and speed
  • Use case 3: Research and development in natural language processing and machine learning

Advantages

  • Advantage 1: Combines the best of RNN and transformer architectures
  • Advantage 2: Offers infinite context length and free sentence embedding
  • Advantage 3: Provides a stable and scalable model architecture

Limitations / Considerations

  • Limitation 1: The project's license is currently unknown, which may affect its use in commercial applications
  • Limitation 2: The model's complexity may require significant computational resources for training and deployment

Similar / Related Projects

  • Project 1: GPT (Generative Pre-trained Transformer) - A transformer-based language model that RWKV-LM aims to outperform in terms of speed and efficiency.
  • Project 2: LSTM (Long Short-Term Memory) - A type of RNN that RWKV-LM improves upon by offering linear time and constant space capabilities.
  • Project 3: Transformer-XL - A transformer model that handles long-range dependencies; RWKV-LM aims to match or exceed its performance with a different architectural approach.

Basic Information

📊 Project Information

  • Project Name: RWKV-LM
  • GitHub URL: https://github.com/BlinkDL/RWKV-LM
  • Programming Language: Python
  • ⭐ Stars: 13,956
  • 🍴 Forks: 942
  • 📅 Created: 2021-08-08
  • 🔄 Last Updated: 2025-09-10

🏷️ Project Topics

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🔗 Related Resource Links

📚 Documentation

🌐 Related Websites

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Project Information

Created on 8/8/2021
Updated on 10/31/2025