---
title: "awesome-LLM-resources"
type: "tool"
slug: "wangrongsheng-awesome-llm-resources"
canonical_url: "https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources"
github_url: "https://github.com/WangRongsheng/awesome-LLM-resources"
homepage_url: null
stars: 8650
forks: 920
primary_language: null
license: "Apache-2.0"
categories: ["model-training", "evaluation-observability", "llm-frameworks", "inference-serving", "ai-agents"]
tags: ["mistral", "qwen", "course", "large-language-models", "awesome-list", "rag", "openai", "book"]
updated_at: "2026-07-07T18:36:05.875805+00:00"
---

# awesome-LLM-resources

> Summary of the world's best LLM resources.

Awesome collection of Large Language Models (LLM) and related resources including fine-tuning, agents, inference, evaluation, unified models, datasets, research materials, tutorials, books, courses, papers, tools for webui, speech processing, and more.

## Facts

- Repository: https://github.com/WangRongsheng/awesome-LLM-resources
- Stars: 8,650 · Forks: 920 · Open issues: 38 · Watchers: 87
- License: Apache-2.0
- Last pushed: 2026-07-07T13:51:58+00:00

## Categories

- [Model Training](/categories/model-training.md)
- [Evaluation & Observability](/categories/evaluation-observability.md)
- [LLM Frameworks](/categories/llm-frameworks.md)
- [Inference & Serving](/categories/inference-serving.md)
- [AI Agents](/categories/ai-agents.md)

## Tags

mistral, qwen, course, large-language-models, awesome-list, rag, openai, book

## Related tools

- [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962)
- [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880)
- [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417)
- [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659)
- [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019)
- [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,347)
- [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298)
- [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070)

## README (excerpt)

```text
<p align="center">全世界最好的大语言模型资源汇总 持续更新</p>

<p align="center">挖掘那些真正有价值的项目，而不仅仅是噱头</p>

<p align="center">
  <a href="https://github.com/WangRongsheng/awesome-LLM-resourses"><img src=https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg ></a>
  <a href="https://github.com/WangRongsheng/awesome-LLM-resourses"><img src=https://img.shields.io/github/forks/WangRongsheng/awesome-LLM-resourses.svg?style=social ></a>
  <a href="https://github.com/WangRongsheng/awesome-LLM-resourses"><img src=https://img.shields.io/github/stars/WangRongsheng/awesome-LLM-resourses.svg?style=social ></a>
  <a href="https://github.com/WangRongsheng/awesome-LLM-resourses"><img src=https://img.shields.io/github/watchers/WangRongsheng/awesome-LLM-resourses.svg?style=social ></a>
  <a href="https://gitcode.com/wangrongsheng/awesome-LLM-resources"><img src="https://raw.githubusercontent.com/WangRongsheng/awesome-LLM-resources/main/assets/gitcode.png" height="25" alt="gitcode">
</a>
</p>

> [!TIP]
> 如果您对**医疗数据集/大模型/多模态/评估相关资源感兴趣**！请访问我们的 🤗 [Awesome-AI4Med](https://github.com/FreedomIntelligence/Awesome-AI4Med) !

---

#### Contents

- [推荐 Suggestion](#推荐-Suggestion) 🌟
- [数据 Data](#数据-Data)
- [微调 Fine-Tuning](#微调-Fine-Tuning) 
- [Agentic RL](#Agentic-RL) 🌟
- [推理 Inference](#推理-Inference)
- [评估 Evaluation](#评估-Evaluation)
- [体验 Usage](#体验-Usage)
- [知识库 RAG](#知识库-RAG)
- [智能体 Agents](#智能体-Agents)
- [研究 Research](#研究-Research) 🔥
- [代码 Coding](#代码-Coding)
- [视频 Video](#视频-Video) 
- [图片 Image](#图片-Image) 🔥
- [搜索 Search](#搜索-Search)
- [语音 Speech](#语音-Speech) 🔥
- [世界模型 World Models](#世界模型-World-Models) 🔥
- [龙虾 OpenClaw](#龙虾-OpenClaw)
- [统一模型 Unified Model](#统一模型-Unified-Model) 🌟
- [书籍 Book](#书籍-Book)
- [课程 Course](#课程-Course)
- [教程 Tutorial](#教程-Tutorial)
- [论文 Paper](#论文-Paper)
- [社区 Community](#社区-Community)
- [模型上下文协议 MCP](#模型上下文协议-MCP)
- [技能 Skills](#技能-Skills) 
- [推理 Open o1](#推理-Open-o1)
- [推理 Open o3](#推理-Open-o3)
- [小语言模型 Small Language Model](#小语言模型-Small-Language-Model) 🌟
- [小多模态模型 Small Vision Language Model](#小多模态模型-Small-Vision-Language-Model) 🌟
- [技巧 Tips](#技巧-tips)



## 推荐 Suggestion

#### Podcast

- [谷歌AI的14年、Gemini翻身之战，与视觉理解模型：专访DeepMind前核心科学家Andrew Dai｜Neolabs特辑](https://www.youtube.com/watch?v=cqW_VWYbIcU)
- [140. 对姚顺宇的4小时访谈：请允许我小疯一下！在Anthropic和Gemini训模型、技术预测、英雄主义已过去](https://www.youtube.com/watch?v=Gk_KUg3qED0)
- [张驰: A Year Inside ByteDance's AI Lab](https://changche.substack.com/p/a-year-inside-bytedances-ai-lab)
- [Luo Fuli: OpenClaw, Agent Frameworks — The AI Paradigm Has Already Changed Dramatically!](https://www.youtube.com/watch?v=V9eI-t3TApE)
- [A 7-hour marathon interview with Saining Xie: World Models, AMI Labs, Yann LeCun, Fei-Fei Li, and 42](https://www.youtube.com/watch?v=rIwgZWzUKm8)
- [翁家翌：OpenAI，GPT，强化学习，Infra，后训练，天授，tuixue，开源，CMU，清华｜WhynotTV Podcast](https://www.bilibili.com/video/BV1darmBcE4A?vd_source=c739db1ebdd361d47af5a0b8497417db)
- [Lovart 创始人陈冕×罗永浩！且让我大闹一场，然后悄然离去](https://www.bilibili.com/video/BV14eiQBmEbN/?spm_id_from=333.1387.upload.video_card.click)
- [MiniMax 创始人闫俊杰×罗永浩！大山并非无法翻越](https://www.bilibili.com/video/BV11NmtBzE36/?spm_id_from=333.1387.upload.video_card.click&vd_source=c739db1ebdd361d47af5a0b8497417db)
- [影视飓风TIM×罗永浩！用影像打开世界的梦想家](https://www.bilibili.com/video/BV1B5xkzPEhx/?spm_id_from=333.1387.upload.video_card.click&vd_source=c739db1ebdd361d47af5a0b8497417db)
- [129. 全球大模型第一股的上市访谈，和智谱CEO张鹏聊：敢问路在何方？](https://www.youtube.com/watch?v=9zSMTUUEfmU&list=PLwAchVoh-4zNSI5UlKEkKCL5r_jJyrFeO&index=2)
- [128. Manus决定出售前最后的访谈：啊，这奇幻的2025年漂流啊…](https://www.youtube.com/watch?v=MW-ezf2RhVg&list=PLwAchVoh-4zNSI5UlKEkKCL5r_jJyrFeO&index=3)
- [122. 朱啸虎现实主义故事的第三次连载：人工智能的盛筵与泡泡](https://www.youtube.com/watch?v=wK0-m3rKgZ0&list=PLwAchVoh-4zNSI5UlKEkKCL5r_jJyrFeO&index=9)
- [119. Kimi Linear、Minimax M2？和杨松琳考古算法变种史，并预演未来架构改进方案](https://www.youtube.com/watch?v=858HR43pegk&list=PLwAchVoh-4zNSI5UlKEkKCL5r_jJyrFeO&index=12&t=1070s)
- [118. 对李想的第二次3小时访谈：CEO大模型、MoE、梁文锋、VLA、能量、记忆、对抗人
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/wangrongsheng-awesome-llm-resources`](/api/graphcanon/tools/wangrongsheng-awesome-llm-resources)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_