RWKV

The new generation of large-scale model architecture, surpassing transformer.

CommonProductProductivityOpen SourceDeep Learning

RWKV is a revolutionary deep learning architecture that combines the best features of RNN and Transformer. It offers excellent performance, fast reasoning and training, and does not depend on the self-attention mechanism, saving VRAM and supporting 'infinite' context length. RWKV excels in various language and encoding tasks, becoming a popular choice among developers globally, promoting the advancement of open source large language models.

Excellent performance: RWKV combines the advantages of RNN and Transformer
providing efficient reasoning and training performance to enable users to quickly achieve excellent results in various tasks.
Fast training: The architectural design of RWKV allows users to train models at a faster speed
reducing the development cycle of the model and improving research and application efficiency.
Save VRAM: Due to its unique design
RWKV can run with lower VRAM usage
suitable for development environments with limited resources.
Infinite context length: RWKV supports 'infinite' context length
allowing it to handle long text input
significantly improving the ability of natural language processing tasks.

Researchers: RWKV offers powerful functionalities suitable for research and exploration of deep learning models.
Developers: Its open-source nature and flexible architecture design enable developers to easily integrate RWKV into their projects.
Students: The documentation and community support of RWKV provide excellent resources for students learning about deep learning and natural language processing.
Business: RWKV's high performance is suitable for businesses to improve work efficiency and reduce operating costs in practical applications.

RWKV is used in medical image repair tasks to improve image quality
demonstrating its potential in image processing.
RWKV is used for text generation to help developers create high-quality natural language content.
In multimodal tasks
RWKV provides powerful performance by combining visual and linguistic information

Visit the official website of RWKV to download the required model files.
Select the appropriate model parameters according to the specific task requirements.
Configure the model environment according to the documentation and ensure that all dependencies are installed.
Load the RWKV model and use the provided API for processing input data.
Run the model and observe the output results and perform necessary post-processing.

Visit

RWKV Visit Over Time

Monthly Visits

6248

Bounce Rate

63.37%

Page per Visit

2.0

Visit Duration

00:01:16

RWKV Visit Trend

RWKV Visit Geography

RWKV Traffic Sources

RWKV Alternatives

Q-RWKV-6 32B Instruct Preview — The most powerful variant of the RWKV model, breaking multiple English benchmark tests.

Programming•Machine Learning•Natural Language Processing

mwp_ReFT — A deep reinforcement learning-based model fine-tuning framework

Programming•Natural Language Processing•Deep Learning

Florence-VL — Enhancement tool for visual language models, combining generative visual encoders and deep breadth fusion technology.

Programming•Visual Language Models•Multimodal Learning

PaliGemma 2 — PaliGemma 2 is a powerful visual language model that is easy to fine-tune.

Productivity•Visual Language Model•Machine Learning

OLMo-2-1124-7B-SFT — High-performance English text generation model

Productivity•Text Generation•Natural Language Processing

Sana — High-efficiency high-resolution image synthesis framework

Image•Image Synthesis•Text to Image

OLMo 2 7B — A large language model with 7 billion parameters, enhancing natural language processing capabilities.

Programming•Large Language Model•Natural Language Processing

Ai2 OpenScholar — Enhanced retrieval-based language model for scientific literature.

Productivity•Artificial Intelligence•Scientific Literature

Llama-3.1-Tulu-3-8B-RM — An advanced instruction-following model providing comprehensive guidance on post-training techniques.

Programming•Natural Language Processing•Post-Training Techniques

Llama-3.1-Tulu-3-70B-SFT — A leading family of instruction-following models, offering open-source data, code, and guidelines.

Programming•Natural Language Processing•Text Generation

Llama-3.1-Tulu-3-8B-DPO — An advanced text generation model that supports diverse tasks.

Programming•Text Generation•Natural Language Processing

playwright-ai — An AI tool for Playwright testing using the Anthropic API.

Programming•Playwright•Automation Testing

102

Llama-3.1-Tulu-3-8B — An advanced instruction-following model that provides open-source data and code.

Programming•Natural Language Processing•Text Generation

WhisperNER — Unified open-source named entity and speech recognition model

Programming•Automatic Speech Recognition•Named Entity Recognition

LLaMA-Mesh — Unified 3D Mesh Generation with Language Models

Productivity•3D Modeling•Artificial Intelligence

face_anon_simple — Facial anonymization technology that retains key details while effectively protecting privacy.

Image•Facial Anonymization•Privacy Protection

AdvancedLivePortrait-WebUI — Real-time portrait animation web interface based on Gradio.

Image•Gradio•Portrait Animation

198

Tencent-Hunyuan-Large — Industry-leading open-source large mixture-of-experts model

Productivity•Artificial Intelligence•Natural Language Processing

270

Ultralight-Digital-Human — Super lightweight digital human model for real-time operation on mobile devices.

Image•Digital Human•Artificial Intelligence

426

MaskGCT TTS Demo — Text-to-speech demonstration based on the MaskGCT model.

Others•Text-to-Speech•Deep Learning

1008

llmc — A local inference command-line tool that converts natural language descriptions into executable shell commands.

Programming•Command-Line Tool•Natural Language Processing

sd3.5 — Lightweight inference model for generating high-quality images

Image•Image Generation•Machine Learning

240

mPLUG-DocOwl 1.5 — Unified Structural Learning Model for OCR-free Document Understanding

Productivity•Document Understanding•Deep Learning

Knowledge Table — An open-source tool that simplifies the extraction and exploration of structured data from unstructured documents.

Programming•Natural Language Processing•Data Extraction

294

Chat with your Database — Interact with your database using natural language to query data.

Productivity•Database•Query

174

SLM_Survey — Research, Measurement, and Insights on Small Language Models

Education•Small Language Models•Transformer

Best AI Websites & Tools