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.

Best AI Websites & Tools

RWKV

RWKV Visit Over Time

RWKV Visit Trend

RWKV Visit Geography

RWKV Traffic Sources

RWKV Alternatives

Reflection Llama-3.1 70B — The world's leading open-source large language model

OLMoE-1B-7B — An efficient open-source large language model.

OLMoE — An open-source expert mixture language model with 130 million active parameters.

Aixploria — AI tools directory for discovering the best AI tools

Awesome ChatGPT Prompts — A collection of prompts for interacting with the ChatGPT model

RWKV v6 Finch 14B — RWKV v6 Finch 14B is an open-source large model that efficiently processes long texts.

Cerebras Inference — AI instant inference solution with world-leading speed.

OpenVoiceChat — Engage in natural voice conversations with large language models.

fact-finder — An intelligent question-answering system based on knowledge graphs.

1.5-Pints — A compact large language model pre-trained in 9 days

speech-to-speech — Open-source speech-to-speech conversion module

llama3-s — An open-source language model currently being trained, equipped with 'hearing' capabilities.

WeST — Implement speech transcription based on LLM in just 300 lines of code.

Alpha-VLLM — A versatile framework for generating multimodal content from text.

Agents 2.0 — Open-source framework supporting data-driven adaptive language agents.

OpenDiLoCo — An open-source implementation for distributed low-bandwidth AI model training

gemma-2-9b — Lightweight, advanced text generation model

YAYI-UIE Information Extraction Large Model — High-quality information extraction model based on massive data

llama3-from-scratch — Implement the Llama3 model from scratch

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

Granite Code Models — An open-source foundation model designed for code intelligence tasks, supporting 116 programming languages.

Cognita — An open-source framework for constructing modular production-level applications.

RAGFlow — An open-source Retrieval-Augmented Generation (RAG) engine based on deep document understanding

GraphRAG — An end-to-end system that integrates text extraction, network analysis, and large language model prompting and summarization

Qwen1.5-110B — The first petabyte-scale open-source model in the Qwen1.5 series, supporting multilingual functionality and an efficient Transformer decoder architecture.

llava-llama-3-8b-v1_1 — A LLaVA model optimized by XTuner, which combines image and text processing capabilities.

Snowflake Arctic — An efficient enterprise-level AI model that achieves high-quality custom models at a low cost.

OpenELM — OpenELM is a family of efficient language models equipped with an open-source training and inference framework.

Meta Llama 3 — Meta's new generation of open-source large language model with excellent performance