awesome-llm-apps vs Chinese-LLaMA-Alpaca-2
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| awesome-llm-apps | Chinese-LLaMA-Alpaca-2 | |
|---|---|---|
| Tagline | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | 中文LLaMA-2 & Alpaca-2大型语言模型项目，支持64K超长上下文 |
| Stars | 117k | 7.1k |
| Forks | 17k | 564 |
| Open issues | 6 | 6 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jun 15, 2026 | Apr 19, 2026 |
| Categories | AI Agents, LLM Frameworks | Model Training, LLM Frameworks |
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python
Chinese-LLaMA-Alpaca-2
该项目基于Llama-2开发了优化过的中文模型，提供改进的中文词表和大规模预训练数据。扩展版本包括FlashAttention加速、更长的上下文长度（16K及64K）以及偏好对齐指令调整。
Python