{"data":{"node":{"slug":"hiyouga-llamafactory","name":"LlamaFactory","tagline":"Unified Efficient Fine-Tuning of 100+ LLMs & VLMs","github_url":"https://github.com/hiyouga/LlamaFactory","owner":"hiyouga","repo":"LlamaFactory","owner_avatar_url":"https://avatars.githubusercontent.com/u/16256802?v=4","primary_language":"Python","stars":74132,"forks":9071,"topics":["agent","ai","deepseek","fine-tuning","gemma","gpt","instruction-tuning","large-language-models","llama","llama3","llm","lora","moe","nlp","peft","qlora","quantization","qwen","rlhf","transformers"],"archived":false,"github_pushed_at":"2026-08-13T12:45:56+00:00","maintenance_label":"Very active","stars_delta_30d":803,"url":"https://www.graphcanon.com/tools/hiyouga-llamafactory","markdown_url":"https://www.graphcanon.com/tools/hiyouga-llamafactory.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hiyouga-llamafactory","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hiyouga-llamafactory"},"categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"ai","name":"ai"},{"slug":"deepseek","name":"deepseek"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"gemma","name":"gemma"},{"slug":"gpt","name":"gpt"},{"slug":"instruction-tuning","name":"instruction-tuning"},{"slug":"large-language-models","name":"large language models"}],"edges":[{"type":"integrates_with","direction":"out","explanation":"LlamaFactory is a repository designed for fine-tuning large language models and vision-language models, supporting integration with major tech companies' resources. Ollama provides an environment to run and integrate various large language models, including the ones that can be fine-tuned using LlamaFactory, hence LlamaFactory has an 'integrates with' relationship to ollama.","successor_context":null,"tool":{"slug":"ollama-ollama","name":"ollama","tagline":"Get up and running with various large language models using Ollama.","github_url":"https://github.com/ollama/ollama","owner":"ollama","repo":"ollama","owner_avatar_url":"https://avatars.githubusercontent.com/u/151674099?v=4","primary_language":"Go","stars":177524,"forks":17229,"topics":["deepseek","gemma","gemma3","glm","go","golang","gpt-oss","llama","llama3","llm","llms","minimax","mistral","ollama","qwen"],"archived":false,"github_pushed_at":"2026-07-31T23:59:29+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/ollama-ollama","markdown_url":"https://www.graphcanon.com/tools/ollama-ollama.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ollama-ollama","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ollama-ollama"}},{"type":"alternative","direction":"out","explanation":"Both LlamaFactory and UnSloth aim at facilitating the execution of open-source models locally, but they approach it differently; LlamaFactory is focused on fine-tuning and optimization while UnSloth offers a web UI.","successor_context":null,"tool":{"slug":"unslothai-unsloth","name":"unsloth","tagline":"A web UI for training and running open models locally.","github_url":"https://github.com/unslothai/unsloth","owner":"unslothai","repo":"unsloth","owner_avatar_url":"https://avatars.githubusercontent.com/u/150920049?v=4","primary_language":"Python","stars":69621,"forks":6285,"topics":["agent","deepseek","fine-tuning","gemma","gemma3","gpt-oss","llama","llama3","llm","llms","mistral","openai","qwen","reinforcement-learning","self-hosted","text-to-speech","tts","ui","unsloth"],"archived":false,"github_pushed_at":"2026-08-06T06:01:56+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/unslothai-unsloth","markdown_url":"https://www.graphcanon.com/tools/unslothai-unsloth.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/unslothai-unsloth","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=unslothai-unsloth"}},{"type":"successor","direction":"out","explanation":"LlamaFactory has a 'successor' relationship to unsloth because while both tools facilitate the fine-tuning and deployment of large language models (LLMs) and vision-language models (VLMs), LlamaFactory offers an advanced, unified approach for fine-tuning over 100 different models with support from major tech corporations. In contrast, Unsloth Studio provides a more limited scope with a web UI for训","successor_context":null,"tool":{"slug":"unslothai-unsloth","name":"unsloth","tagline":"A web UI for training and running open models locally.","github_url":"https://github.com/unslothai/unsloth","owner":"unslothai","repo":"unsloth","owner_avatar_url":"https://avatars.githubusercontent.com/u/150920049?v=4","primary_language":"Python","stars":69621,"forks":6285,"topics":["agent","deepseek","fine-tuning","gemma","gemma3","gpt-oss","llama","llama3","llm","llms","mistral","openai","qwen","reinforcement-learning","self-hosted","text-to-speech","tts","ui","unsloth"],"archived":false,"github_pushed_at":"2026-08-06T06:01:56+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/unslothai-unsloth","markdown_url":"https://www.graphcanon.com/tools/unslothai-unsloth.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/unslothai-unsloth","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=unslothai-unsloth"}},{"type":"depends_on","direction":"out","explanation":"Since LlamaFactory mentions PyTorch, it relies on PyTorch for efficient tensor computing capabilities on GPU-accelerated platforms.","successor_context":null,"tool":{"slug":"pytorch-pytorch","name":"pytorch","tagline":"Tensors and Dynamic neural networks in Python with strong GPU acceleration","github_url":"https://github.com/pytorch/pytorch","owner":"pytorch","repo":"pytorch","owner_avatar_url":"https://avatars.githubusercontent.com/u/21003710?v=4","primary_language":"Python","stars":102144,"forks":28650,"topics":["autograd","deep-learning","gpu","machine-learning","neural-network","numpy","python","tensor"],"archived":false,"github_pushed_at":"2026-08-03T06:00:50+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/pytorch-pytorch","markdown_url":"https://www.graphcanon.com/tools/pytorch-pytorch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pytorch-pytorch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pytorch-pytorch"}},{"type":"alternative","direction":"out","explanation":"LlamaFactory and LocalAI both aim to run AI models locally without requiring GPUs, providing alternatives in the execution space.","successor_context":null,"tool":{"slug":"mudler-localai","name":"LocalAI","tagline":"Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.","github_url":"https://github.com/mudler/LocalAI","owner":"mudler","repo":"LocalAI","owner_avatar_url":"https://avatars.githubusercontent.com/u/2420543?v=4","primary_language":"Go","stars":48500,"forks":4362,"topics":["agents","ai","api","audio-generation","decentralized","distributed","image-generation","libp2p","llama","llm","mamba","mcp","musicgen","object-detection","rerank","stable-diffusion","text-generation","tts"],"archived":false,"github_pushed_at":"2026-08-16T05:07:25+00:00","maintenance_label":"Very active","stars_delta_30d":924,"url":"https://www.graphcanon.com/tools/mudler-localai","markdown_url":"https://www.graphcanon.com/tools/mudler-localai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mudler-localai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mudler-localai"}},{"type":"depends_on","direction":"out","explanation":"LlamaFactory relies on Hugging Face's transformers library for the underlying state-of-the-art machine learning model definitions and management.","successor_context":null,"tool":{"slug":"huggingface-transformers","name":"transformers","tagline":"Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models","github_url":"https://github.com/huggingface/transformers","owner":"huggingface","repo":"transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":164121,"forks":34249,"topics":["audio","deep-learning","deepseek","gemma","glm","hacktoberfest","llm","machine-learning","model-hub","natural-language-processing","nlp","pretrained-models","python","pytorch","pytorch-transformers","qwen","speech-recognition","transformer","vlm"],"archived":false,"github_pushed_at":"2026-08-15T22:28:12+00:00","maintenance_label":"Very active","stars_delta_30d":1457,"url":"https://www.graphcanon.com/tools/huggingface-transformers","markdown_url":"https://www.graphcanon.com/tools/huggingface-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-transformers"}},{"type":"integrates_with","direction":"out","explanation":"LlamaFactory provides fine-tuning for a wide range of large language models, including those supported by the transformers library from Hugging Face.","successor_context":null,"tool":{"slug":"huggingface-transformers","name":"transformers","tagline":"Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models","github_url":"https://github.com/huggingface/transformers","owner":"huggingface","repo":"transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":164121,"forks":34249,"topics":["audio","deep-learning","deepseek","gemma","glm","hacktoberfest","llm","machine-learning","model-hub","natural-language-processing","nlp","pretrained-models","python","pytorch","pytorch-transformers","qwen","speech-recognition","transformer","vlm"],"archived":false,"github_pushed_at":"2026-08-15T22:28:12+00:00","maintenance_label":"Very active","stars_delta_30d":1457,"url":"https://www.graphcanon.com/tools/huggingface-transformers","markdown_url":"https://www.graphcanon.com/tools/huggingface-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-transformers"}},{"type":"related","direction":"out","explanation":"LlamaFactory and LitellM both facilitate interaction with multiple language model APIs, but their focus differs; LlamaFactory is more on fine-tuning models while LitellM provides a Python SDK for model communication.","successor_context":null,"tool":{"slug":"berriai-litellm","name":"litellm","tagline":"Python SDK and Proxy Server for calling multiple LLM APIs","github_url":"https://github.com/BerriAI/litellm","owner":"BerriAI","repo":"litellm","owner_avatar_url":"https://avatars.githubusercontent.com/u/121462774?v=4","primary_language":"Python","stars":55221,"forks":10231,"topics":["ai-gateway","anthropic","azure-openai","bedrock","gateway","langchain","litellm","llm","llm-gateway","llmops","mcp-gateway","openai","openai-proxy","rust","rust-ai","vertex-ai"],"archived":false,"github_pushed_at":"2026-08-01T05:53:28+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/berriai-litellm","markdown_url":"https://www.graphcanon.com/tools/berriai-litellm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/berriai-litellm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=berriai-litellm"}},{"type":"related","direction":"out","explanation":"Autogen and LlamaFactory both deal with AI agents, but Autogen is more about the programming framework while LlamaFactory focuses on fine-tuning large models.","successor_context":null,"tool":{"slug":"microsoft-autogen","name":"autogen","tagline":"A programming framework for agentic AI","github_url":"https://github.com/microsoft/autogen","owner":"microsoft","repo":"autogen","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":60139,"forks":9059,"topics":["agentic","agentic-agi","agents","ai","autogen","autogen-ecosystem","chatgpt","framework","llm-agent","llm-framework"],"archived":false,"github_pushed_at":"2026-04-15T11:59:09+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/microsoft-autogen","markdown_url":"https://www.graphcanon.com/tools/microsoft-autogen.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-autogen","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-autogen"}},{"type":"related","direction":"out","explanation":"Both LlamaFactory and DeepSeek-R1 deal with the optimization of large language models and their commercial applications, but they serve different purposes.","successor_context":null,"tool":{"slug":"deepseek-ai-deepseek-r1","name":"DeepSeek-R1","tagline":"Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses.","github_url":"https://github.com/deepseek-ai/DeepSeek-R1","owner":"deepseek-ai","repo":"DeepSeek-R1","owner_avatar_url":"https://avatars.githubusercontent.com/u/148330874?v=4","primary_language":null,"stars":91982,"forks":11706,"topics":[],"archived":false,"github_pushed_at":"2025-06-27T08:35:54+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/deepseek-ai-deepseek-r1","markdown_url":"https://www.graphcanon.com/tools/deepseek-ai-deepseek-r1.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepseek-ai-deepseek-r1","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepseek-ai-deepseek-r1"}},{"type":"integrates_with","direction":"out","explanation":"Open-WebUI provides a user-friendly AI interface that can integrate with LlamaFactory for local model execution via its support for Ollama, thus complementing each other in the end-user experience.","successor_context":null,"tool":{"slug":"open-webui-open-webui","name":"open-webui","tagline":"User-friendly AI Interface (Supports Ollama, OpenAI API, ...)","github_url":"https://github.com/open-webui/open-webui","owner":"open-webui","repo":"open-webui","owner_avatar_url":"https://avatars.githubusercontent.com/u/158137808?v=4","primary_language":"Python","stars":148875,"forks":21676,"topics":["ai","llm","llm-ui","llm-webui","llms","mcp","ollama","ollama-webui","open-webui","openai","openapi","rag","self-hosted","ui","webui"],"archived":false,"github_pushed_at":"2026-08-15T07:10:16+00:00","maintenance_label":"Very active","stars_delta_30d":3224,"url":"https://www.graphcanon.com/tools/open-webui-open-webui","markdown_url":"https://www.graphcanon.com/tools/open-webui-open-webui.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/open-webui-open-webui","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=open-webui-open-webui"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"datawhalechina-self-llm","name":"self-llm","tagline":"A guide for fine-tuning and deploying open-source large language models tailored for a Chinese audience on Linux.","github_url":"https://github.com/datawhalechina/self-llm","owner":"datawhalechina","repo":"self-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Jupyter Notebook","stars":31722,"forks":3082,"topics":["chatglm","chatglm3","gemma-2b-it","glm-4","internlm2","llama3","llm","lora","minicpm","q-wen","qwen","qwen1-5","qwen2"],"archived":false,"github_pushed_at":"2026-07-30T01:58:34+00:00","maintenance_label":"Active","stars_delta_30d":412,"url":"https://www.graphcanon.com/tools/datawhalechina-self-llm","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-self-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-self-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-self-llm"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"nirdiamant-rag-techniques","name":"RAG_Techniques","tagline":"Showcases advanced techniques for Retrieval-Augmented Generation (RAG) systems with detailed notebook tutorials.","github_url":"https://github.com/NirDiamant/RAG_Techniques","owner":"NirDiamant","repo":"RAG_Techniques","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":29076,"forks":3540,"topics":["agentic-rag","ai","embeddings","generative-ai","gpt","langchain","llama-index","llm","llms","machine-learning","nlp","openai","python","rag","retrieval-augmented-generation","semantic-search","tutorials","vector-database"],"archived":false,"github_pushed_at":"2026-08-15T00:52:05+00:00","maintenance_label":"Very active","stars_delta_30d":455,"url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-rag-techniques","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-rag-techniques"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"liguodongiot-llm-action","name":"llm-action","tagline":"Aims to share large model technology principles and practical experience (large model engineering, application implementation)","github_url":"https://github.com/liguodongiot/llm-action","owner":"liguodongiot","repo":"llm-action","owner_avatar_url":"https://avatars.githubusercontent.com/u/13220186?v=4","primary_language":"HTML","stars":24898,"forks":2842,"topics":["llm","llm-inference","llm-serving","llm-training","llmops"],"archived":false,"github_pushed_at":"2026-07-19T13:13:31+00:00","maintenance_label":"Active","stars_delta_30d":162,"url":"https://www.graphcanon.com/tools/liguodongiot-llm-action","markdown_url":"https://www.graphcanon.com/tools/liguodongiot-llm-action.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/liguodongiot-llm-action","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=liguodongiot-llm-action"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"ymcui-chinese-llama-alpaca","name":"Chinese-LLaMA-Alpaca","tagline":"Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment","github_url":"https://github.com/ymcui/Chinese-LLaMA-Alpaca","owner":"ymcui","repo":"Chinese-LLaMA-Alpaca","owner_avatar_url":"https://avatars.githubusercontent.com/u/16095339?v=4","primary_language":"Python","stars":18933,"forks":1839,"topics":["alpaca","alpaca-2","large-language-models","llama","llama-2","llm","lora","nlp","plm","pre-trained-language-models","quantization"],"archived":false,"github_pushed_at":"2026-04-19T00:58:05+00:00","maintenance_label":"Slowing","stars_delta_30d":-9,"url":"https://www.graphcanon.com/tools/ymcui-chinese-llama-alpaca","markdown_url":"https://www.graphcanon.com/tools/ymcui-chinese-llama-alpaca.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ymcui-chinese-llama-alpaca","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ymcui-chinese-llama-alpaca"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"datawhalechina-easy-vibe","name":"easy-vibe","tagline":"Your First Modern Coding course for beginners to master step by step.","github_url":"https://github.com/datawhalechina/easy-vibe","owner":"datawhalechina","repo":"easy-vibe","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"JavaScript","stars":18994,"forks":1819,"topics":["agent","ai","coding","course","deepseek","gemini","genai","gpt","llm","low-code","mcp","nextjs","no-code","openai","programming","tutorial","vibe-coding","vibecoding","vscode","workflow"],"archived":false,"github_pushed_at":"2026-08-18T02:14:42+00:00","maintenance_label":"Very active","stars_delta_30d":665,"url":"https://www.graphcanon.com/tools/datawhalechina-easy-vibe","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-easy-vibe.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-easy-vibe","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-easy-vibe"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"eugeneyan-open-llms","name":"open-llms","tagline":"A list of open LLMs available for commercial use.","github_url":"https://github.com/eugeneyan/open-llms","owner":"eugeneyan","repo":"open-llms","owner_avatar_url":"https://avatars.githubusercontent.com/u/6831355?v=4","primary_language":null,"stars":12849,"forks":985,"topics":["commercial","large-language-models","llm","llms"],"archived":false,"github_pushed_at":"2025-02-13T06:37:12+00:00","maintenance_label":"Dormant","stars_delta_30d":18,"url":"https://www.graphcanon.com/tools/eugeneyan-open-llms","markdown_url":"https://www.graphcanon.com/tools/eugeneyan-open-llms.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eugeneyan-open-llms","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eugeneyan-open-llms"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"netflix-metaflow","name":"metaflow","tagline":"Build, Manage and Deploy AI/ML Systems","github_url":"https://github.com/Netflix/metaflow","owner":"Netflix","repo":"metaflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/913567?v=4","primary_language":"Python","stars":10228,"forks":1330,"topics":["agents","ai","aws","azure","cost-optimization","datascience","distributed-training","gcp","generative-ai","high-performance-computing","kubernetes","llm","llmops","machine-learning","ml","ml-infrastructure","ml-platform","mlops","model-management","python"],"archived":false,"github_pushed_at":"2026-08-18T09:41:43+00:00","maintenance_label":"Very active","stars_delta_30d":38,"url":"https://www.graphcanon.com/tools/netflix-metaflow","markdown_url":"https://www.graphcanon.com/tools/netflix-metaflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/netflix-metaflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=netflix-metaflow"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"alirezadir-machine-learning-interviews","name":"Machine-Learning-Interviews","tagline":"Guide for Machine Learning/AI technical interviews","github_url":"https://github.com/alirezadir/Machine-Learning-Interviews","owner":"alirezadir","repo":"Machine-Learning-Interviews","owner_avatar_url":"https://avatars.githubusercontent.com/u/5262877?v=4","primary_language":"Jupyter Notebook","stars":8638,"forks":1508,"topics":["agentic","ai","ai-agents","ai-engineering","deep-learning","interview","interview-practice","interview-preparation","interviews","machine-learning","machine-learning-algorithms","scalable-applications","system-design"],"archived":false,"github_pushed_at":"2026-06-20T06:39:46+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/alirezadir-machine-learning-interviews","markdown_url":"https://www.graphcanon.com/tools/alirezadir-machine-learning-interviews.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alirezadir-machine-learning-interviews","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alirezadir-machine-learning-interviews"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"imoneoi-openchat","name":"openchat","tagline":"Advancing Open-source Language Models with Imperfect Data","github_url":"https://github.com/imoneoi/openchat","owner":"imoneoi","repo":"openchat","owner_avatar_url":"https://avatars.githubusercontent.com/u/26354659?v=4","primary_language":"Python","stars":5487,"forks":432,"topics":["large-language-models","open-source","transformers"],"archived":false,"github_pushed_at":"2024-09-13T07:46:22+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/imoneoi-openchat","markdown_url":"https://www.graphcanon.com/tools/imoneoi-openchat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/imoneoi-openchat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=imoneoi-openchat"}},{"type":"integrates_with","direction":"in","explanation":"Lorax has an 'integrates with' relationship to LlamaFactory because Lorax serves as a multi-LoRA inference server that supports scaling fine-tuned models, which can include the myriad of large language models (LLMs) and vision-language models (VLMs) produced by LlamaFactory. This integration allows for efficient deployment and scaling of models fine-tuned using LlamaFactory's repository.","successor_context":null,"tool":{"slug":"predibase-lorax","name":"lorax","tagline":"Multi-LoRA inference server for scalable fine-tuned LLMs","github_url":"https://github.com/predibase/lorax","owner":"predibase","repo":"lorax","owner_avatar_url":"https://avatars.githubusercontent.com/u/75280641?v=4","primary_language":"Python","stars":3826,"forks":326,"topics":["fine-tuning","gpt","llama","llm","llm-inference","llm-serving","llmops","lora","model-serving","pytorch","transformers"],"archived":false,"github_pushed_at":"2026-05-28T18:12:20+00:00","maintenance_label":"Steady","stars_delta_30d":10,"url":"https://www.graphcanon.com/tools/predibase-lorax","markdown_url":"https://www.graphcanon.com/tools/predibase-lorax.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/predibase-lorax","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=predibase-lorax"}},{"type":"related","direction":"in","explanation":null,"successor_context":null,"tool":{"slug":"datadreamer-dev-datadreamer","name":"DataDreamer","tagline":"Prompt. Generate Synthetic Data. Train & Align Models.","github_url":"https://github.com/datadreamer-dev/DataDreamer","owner":"datadreamer-dev","repo":"DataDreamer","owner_avatar_url":"https://avatars.githubusercontent.com/u/154913957?v=4","primary_language":"Python","stars":1117,"forks":58,"topics":["alignment","deep-learning","fine-tuning","gpt","instruction-tuning","llm","llmops","llms","machine-learning","natural-language-processing","nlp","nlp-library","openai","python","pytorch","synthetic-data","synthetic-dataset-generation","transformers"],"archived":false,"github_pushed_at":"2025-02-02T21:23:50+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/datadreamer-dev-datadreamer","markdown_url":"https://www.graphcanon.com/tools/datadreamer-dev-datadreamer.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datadreamer-dev-datadreamer","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datadreamer-dev-datadreamer"}},{"type":"related","direction":"in","explanation":"LlamaFactory handles the fine-tuning of various LLMs including smaller models which are also a focus in Awesome-Chinese-LLM.","successor_context":null,"tool":{"slug":"aihubcn-awesome-chinese-llm","name":"Awesome-Chinese-LLM","tagline":"整理开源的中文大语言模型","github_url":"https://github.com/AiHubCN/Awesome-Chinese-LLM","owner":"AiHubCN","repo":"Awesome-Chinese-LLM","owner_avatar_url":"https://avatars.githubusercontent.com/u/29895268?v=4","primary_language":null,"stars":22738,"forks":2134,"topics":["awesome-lists","chatglm","chinese","llama","llm","nlp"],"archived":false,"github_pushed_at":"2026-05-10T05:03:06+00:00","maintenance_label":"Slowing","stars_delta_30d":53,"url":"https://www.graphcanon.com/tools/aihubcn-awesome-chinese-llm","markdown_url":"https://www.graphcanon.com/tools/aihubcn-awesome-chinese-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/aihubcn-awesome-chinese-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=aihubcn-awesome-chinese-llm"}},{"type":"integrates_with","direction":"in","explanation":"Since llm-action covers efficient fine-tuning techniques and Llamafactory is a tool for efficiently fine-tuning multiple models, they can be used in conjunction.","successor_context":null,"tool":{"slug":"liguodongiot-llm-action","name":"llm-action","tagline":"Aims to share large model technology principles and practical experience (large model engineering, application implementation)","github_url":"https://github.com/liguodongiot/llm-action","owner":"liguodongiot","repo":"llm-action","owner_avatar_url":"https://avatars.githubusercontent.com/u/13220186?v=4","primary_language":"HTML","stars":24898,"forks":2842,"topics":["llm","llm-inference","llm-serving","llm-training","llmops"],"archived":false,"github_pushed_at":"2026-07-19T13:13:31+00:00","maintenance_label":"Active","stars_delta_30d":162,"url":"https://www.graphcanon.com/tools/liguodongiot-llm-action","markdown_url":"https://www.graphcanon.com/tools/liguodongiot-llm-action.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/liguodongiot-llm-action","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=liguodongiot-llm-action"}},{"type":"alternative","direction":"in","explanation":"LlamaFactory与Chinese-LLaMA-Alpaca都专注于大规模语言模型的高效微调，但它们针对不同的需求和场景。","successor_context":null,"tool":{"slug":"ymcui-chinese-llama-alpaca","name":"Chinese-LLaMA-Alpaca","tagline":"Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment","github_url":"https://github.com/ymcui/Chinese-LLaMA-Alpaca","owner":"ymcui","repo":"Chinese-LLaMA-Alpaca","owner_avatar_url":"https://avatars.githubusercontent.com/u/16095339?v=4","primary_language":"Python","stars":18933,"forks":1839,"topics":["alpaca","alpaca-2","large-language-models","llama","llama-2","llm","lora","nlp","plm","pre-trained-language-models","quantization"],"archived":false,"github_pushed_at":"2026-04-19T00:58:05+00:00","maintenance_label":"Slowing","stars_delta_30d":-9,"url":"https://www.graphcanon.com/tools/ymcui-chinese-llama-alpaca","markdown_url":"https://www.graphcanon.com/tools/ymcui-chinese-llama-alpaca.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ymcui-chinese-llama-alpaca","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ymcui-chinese-llama-alpaca"}},{"type":"successor","direction":"in","explanation":"LlamaFactory作为一种通用的微调框架，可以视为Chinese-LLaMA-Alpaca的一个更通用、可能更能适应多种需求的后续发展。","successor_context":{"status":"coexists","reason":"虽然都是关于LLM精调，但面向用户群体和目标有所区分。"},"tool":{"slug":"ymcui-chinese-llama-alpaca","name":"Chinese-LLaMA-Alpaca","tagline":"Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment","github_url":"https://github.com/ymcui/Chinese-LLaMA-Alpaca","owner":"ymcui","repo":"Chinese-LLaMA-Alpaca","owner_avatar_url":"https://avatars.githubusercontent.com/u/16095339?v=4","primary_language":"Python","stars":18933,"forks":1839,"topics":["alpaca","alpaca-2","large-language-models","llama","llama-2","llm","lora","nlp","plm","pre-trained-language-models","quantization"],"archived":false,"github_pushed_at":"2026-04-19T00:58:05+00:00","maintenance_label":"Slowing","stars_delta_30d":-9,"url":"https://www.graphcanon.com/tools/ymcui-chinese-llama-alpaca","markdown_url":"https://www.graphcanon.com/tools/ymcui-chinese-llama-alpaca.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ymcui-chinese-llama-alpaca","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ymcui-chinese-llama-alpaca"}},{"type":"related","direction":"in","explanation":"Both repositories focus on large language models and multimodal extensions, though LlamaFactory specifically targets the fine-tuning of existing models and integrates vision and language models.","successor_context":null,"tool":{"slug":"bradyfu-awesome-multimodal-large-language-models","name":"Awesome-Multimodal-Large-Language-Models","tagline":"Latest Advances on Multimodal Large Language Models","github_url":"https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models","owner":"BradyFU","repo":"Awesome-Multimodal-Large-Language-Models","owner_avatar_url":"https://avatars.githubusercontent.com/u/54254631?v=4","primary_language":null,"stars":17978,"forks":1133,"topics":["chain-of-thought","in-context-learning","instruction-following","instruction-tuning","large-language-models","large-vision-language-model","large-vision-language-models","multi-modality","multimodal-chain-of-thought","multimodal-in-context-learning","multimodal-instruction-tuning","multimodal-large-language-models","visual-instruction-tuning"],"archived":false,"github_pushed_at":"2026-08-14T17:17:50+00:00","maintenance_label":"Very active","stars_delta_30d":29,"url":"https://www.graphcanon.com/tools/bradyfu-awesome-multimodal-large-language-models","markdown_url":"https://www.graphcanon.com/tools/bradyfu-awesome-multimodal-large-language-models.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bradyfu-awesome-multimodal-large-language-models","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bradyfu-awesome-multimodal-large-language-models"}},{"type":"related","direction":"in","explanation":"While LlamaFactory focuses on fine-tuning numerous models, LangChain4j provides a framework for integrating these models into applications.","successor_context":null,"tool":{"slug":"langchain4j-langchain4j","name":"langchain4j","tagline":"Java library for building LLM-powered applications on the JVM","github_url":"https://github.com/langchain4j/langchain4j","owner":"langchain4j","repo":"langchain4j","owner_avatar_url":"https://avatars.githubusercontent.com/u/132277850?v=4","primary_language":"Java","stars":12813,"forks":2435,"topics":["anthropic","chatgpt","chroma","embeddings","gemini","gpt","huggingface","java","langchain","llama","llm","llms","milvus","ollama","onnx","openai","openai-api","pgvector","pinecone","vector-database"],"archived":false,"github_pushed_at":"2026-08-06T10:50:58+00:00","maintenance_label":"Very active","stars_delta_30d":265,"url":"https://www.graphcanon.com/tools/langchain4j-langchain4j","markdown_url":"https://www.graphcanon.com/tools/langchain4j-langchain4j.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain4j-langchain4j","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain4j-langchain4j"}},{"type":"depends_on","direction":"in","explanation":"LlamaFactory is a tool that can be used for the efficient fine-tuning of LLMs which BISHENG could potentially use or depend on for its models and evaluations.","successor_context":null,"tool":{"slug":"dataelement-bisheng","name":"bisheng","tagline":"BISHENG is an open LLM devops platform for next generation Enterprise AI applications","github_url":"https://github.com/dataelement/bisheng","owner":"dataelement","repo":"bisheng","owner_avatar_url":"https://avatars.githubusercontent.com/u/103249391?v=4","primary_language":"Python","stars":11879,"forks":1941,"topics":["agent","ai","chatbot","enterprise","finetune","genai","gpt","langchian","llama","llm","llmdevops","llmops","ocr","openai","orchestration","python","rag","react","sft","workflow"],"archived":false,"github_pushed_at":"2026-08-18T11:46:00+00:00","maintenance_label":"Very active","stars_delta_30d":348,"url":"https://www.graphcanon.com/tools/dataelement-bisheng","markdown_url":"https://www.graphcanon.com/tools/dataelement-bisheng.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dataelement-bisheng","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dataelement-bisheng"}},{"type":"related","direction":"in","explanation":"`LLMsPracticalGuide` and `LlamaFactory` both concern large language models, but `LlamaFactory` is more focused on the efficient fine-tuning of 100+ LLMs & VLMs whereas `LLMsPracticalGuide` offers a more holistic view through resources like survey papers.","successor_context":null,"tool":{"slug":"mooler0410-llmspracticalguide","name":"LLMsPracticalGuide","tagline":"A curated list of practical guide resources of LLMs","github_url":"https://github.com/Mooler0410/LLMsPracticalGuide","owner":"Mooler0410","repo":"LLMsPracticalGuide","owner_avatar_url":"https://avatars.githubusercontent.com/u/37475129?v=4","primary_language":null,"stars":10196,"forks":788,"topics":["large-language-models","natural-language-processing","nlp","survey"],"archived":false,"github_pushed_at":"2026-04-08T18:26:44+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/mooler0410-llmspracticalguide","markdown_url":"https://www.graphcanon.com/tools/mooler0410-llmspracticalguide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mooler0410-llmspracticalguide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mooler0410-llmspracticalguide"}},{"type":"integrates_with","direction":"in","explanation":"LlamaFactory provides a framework for efficient fine-tuning of LLMs, which could complement OpenChat's focus on advancing language models with mixed-quality data.","successor_context":null,"tool":{"slug":"imoneoi-openchat","name":"openchat","tagline":"Advancing Open-source Language Models with Imperfect Data","github_url":"https://github.com/imoneoi/openchat","owner":"imoneoi","repo":"openchat","owner_avatar_url":"https://avatars.githubusercontent.com/u/26354659?v=4","primary_language":"Python","stars":5487,"forks":432,"topics":["large-language-models","open-source","transformers"],"archived":false,"github_pushed_at":"2024-09-13T07:46:22+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/imoneoi-openchat","markdown_url":"https://www.graphcanon.com/tools/imoneoi-openchat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/imoneoi-openchat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=imoneoi-openchat"}},{"type":"related","direction":"in","explanation":"Both projects deal with large language models but from different angles; Flash Linear Attention is about efficient implementations, while LlamaFactory focuses on unified fine-tuning.","successor_context":null,"tool":{"slug":"fla-org-flash-linear-attention","name":"flash-linear-attention","tagline":"🚀 Efficient implementations for emerging model architectures","github_url":"https://github.com/fla-org/flash-linear-attention","owner":"fla-org","repo":"flash-linear-attention","owner_avatar_url":"https://avatars.githubusercontent.com/u/40835596?v=4","primary_language":"Python","stars":5568,"forks":661,"topics":["large-language-models","machine-learning-systems","natural-language-processing","sequence-modeling"],"archived":false,"github_pushed_at":"2026-08-17T10:13:08+00:00","maintenance_label":"Very active","stars_delta_30d":208,"url":"https://www.graphcanon.com/tools/fla-org-flash-linear-attention","markdown_url":"https://www.graphcanon.com/tools/fla-org-flash-linear-attention.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/fla-org-flash-linear-attention","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=fla-org-flash-linear-attention"}},{"type":"related","direction":"in","explanation":"LLMBook-zh.github.io 和 LlamaFactory 都涉及大语言模型的优化和应用，但前者侧重理论和技术框架讲解，后者专注于具体的大规模模型微调工具。","successor_context":null,"tool":{"slug":"llmbook-zh-llmbook-zh-github-io","name":"LLMBook-zh.github.io","tagline":"《大语言模型》全面介绍大模型技术的知识，适合初学者作为参考","github_url":"https://github.com/LLMBook-zh/LLMBook-zh.github.io","owner":"LLMBook-zh","repo":"LLMBook-zh.github.io","owner_avatar_url":"https://avatars.githubusercontent.com/u/167047677?v=4","primary_language":"Python","stars":4539,"forks":346,"topics":["artificial-intelligence","deep-learning","deep-neural-networks","deep-reinforcement-learning","fine-tuning","language-model","large-language-models","natural-language-processing","nlp","pretrained-models"],"archived":false,"github_pushed_at":"2025-09-02T05:29:52+00:00","maintenance_label":"Slowing","stars_delta_30d":13,"url":"https://www.graphcanon.com/tools/llmbook-zh-llmbook-zh-github-io","markdown_url":"https://www.graphcanon.com/tools/llmbook-zh-llmbook-zh-github-io.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/llmbook-zh-llmbook-zh-github-io","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=llmbook-zh-llmbook-zh-github-io"}},{"type":"alternative","direction":"in","explanation":"Both MiniMax-01 and LlamaFactory involve fine-tuning of large language models, but they serve as different implementations for similar purposes.","successor_context":null,"tool":{"slug":"minimax-ai-minimax-01","name":"MiniMax-01","tagline":"Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention","github_url":"https://github.com/MiniMax-AI/MiniMax-01","owner":"MiniMax-AI","repo":"MiniMax-01","owner_avatar_url":"https://avatars.githubusercontent.com/u/194880281?v=4","primary_language":"Python","stars":3463,"forks":332,"topics":["large-language-models","llm","llms","minimax-text-01","minimax-vl-01","vision-language-model","vlm"],"archived":false,"github_pushed_at":"2025-07-07T12:24:30+00:00","maintenance_label":"Dormant","stars_delta_30d":17,"url":"https://www.graphcanon.com/tools/minimax-ai-minimax-01","markdown_url":"https://www.graphcanon.com/tools/minimax-ai-minimax-01.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/minimax-ai-minimax-01","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=minimax-ai-minimax-01"}},{"type":"integrates_with","direction":"in","explanation":"LlamaFactory is a framework designed to efficiently fine-tune LLMs and VLMs which complements NExT-GPT’s multimodal approach.","successor_context":null,"tool":{"slug":"next-gpt-next-gpt","name":"NExT-GPT","tagline":"Code and models for ICML 2024 paper on multimodal large language model","github_url":"https://github.com/NExT-GPT/NExT-GPT","owner":"NExT-GPT","repo":"NExT-GPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/143576855?v=4","primary_language":"Python","stars":3637,"forks":359,"topics":["chatgpt","foundation-models","gpt-4","instruction-tuning","large-language-models","llm","mllm","multi-modal-chatgpt","multimodal","visual-language-learning"],"archived":false,"github_pushed_at":"2025-05-13T09:57:47+00:00","maintenance_label":"Dormant","stars_delta_30d":-1,"url":"https://www.graphcanon.com/tools/next-gpt-next-gpt","markdown_url":"https://www.graphcanon.com/tools/next-gpt-next-gpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/next-gpt-next-gpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=next-gpt-next-gpt"}},{"type":"successor","direction":"in","explanation":"Video-LLaMA builds on the fine-tuning capabilities of Llamafactory for audio-visual language model training, albeit in a more specialized video context.","successor_context":{"status":"coexists","reason":"LlamaFactory offers general fine-tuning capability but Video-LLaMA specializes in media content."},"tool":{"slug":"damo-nlp-sg-video-llama","name":"Video-LLaMA","tagline":"Instruction-tuned Audio-Visual Language Model for Video Understanding","github_url":"https://github.com/DAMO-NLP-SG/Video-LLaMA","owner":"DAMO-NLP-SG","repo":"Video-LLaMA","owner_avatar_url":"https://avatars.githubusercontent.com/u/130957594?v=4","primary_language":"Python","stars":3141,"forks":287,"topics":["blip2","cross-modal-pretraining","large-language-models","llama","minigpt4","multi-modal-chatgpt","video-language-pretraining","vision-language-pretraining"],"archived":false,"github_pushed_at":"2024-06-04T07:06:41+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/damo-nlp-sg-video-llama","markdown_url":"https://www.graphcanon.com/tools/damo-nlp-sg-video-llama.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/damo-nlp-sg-video-llama","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=damo-nlp-sg-video-llama"}},{"type":"integrates_with","direction":"in","explanation":"LLamaFactory focuses on the efficient fine-tuning of various LLMs (Language Models), which aligns with DataDreamer's objective to train and align models.","successor_context":null,"tool":{"slug":"datadreamer-dev-datadreamer","name":"DataDreamer","tagline":"Prompt. Generate Synthetic Data. Train & Align Models.","github_url":"https://github.com/datadreamer-dev/DataDreamer","owner":"datadreamer-dev","repo":"DataDreamer","owner_avatar_url":"https://avatars.githubusercontent.com/u/154913957?v=4","primary_language":"Python","stars":1117,"forks":58,"topics":["alignment","deep-learning","fine-tuning","gpt","instruction-tuning","llm","llmops","llms","machine-learning","natural-language-processing","nlp","nlp-library","openai","python","pytorch","synthetic-data","synthetic-dataset-generation","transformers"],"archived":false,"github_pushed_at":"2025-02-02T21:23:50+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/datadreamer-dev-datadreamer","markdown_url":"https://www.graphcanon.com/tools/datadreamer-dev-datadreamer.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datadreamer-dev-datadreamer","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datadreamer-dev-datadreamer"}},{"type":"integrates_with","direction":"in","explanation":"LlamaFactory is built for fine-tuning LLMs and VLMs; it can likely integrate with the models provided by 🤗 Transformers.","successor_context":null,"tool":{"slug":"huggingface-transformers","name":"transformers","tagline":"Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models","github_url":"https://github.com/huggingface/transformers","owner":"huggingface","repo":"transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":164121,"forks":34249,"topics":["audio","deep-learning","deepseek","gemma","glm","hacktoberfest","llm","machine-learning","model-hub","natural-language-processing","nlp","pretrained-models","python","pytorch","pytorch-transformers","qwen","speech-recognition","transformer","vlm"],"archived":false,"github_pushed_at":"2026-08-15T22:28:12+00:00","maintenance_label":"Very active","stars_delta_30d":1457,"url":"https://www.graphcanon.com/tools/huggingface-transformers","markdown_url":"https://www.graphcanon.com/tools/huggingface-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-transformers"}},{"type":"integrates_with","direction":"in","explanation":"Align-anything provides alignment methods such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), and rule-based reinforcement learning to align multimodal large models with human intentions. LlamaFactory offers an efficient fine-tuning process for over 100 language models and vision-language models supported by major tech companies. The 'int","successor_context":null,"tool":{"slug":"pku-alignment-align-anything","name":"align-anything","tagline":"Training All-modality Model with Feedback","github_url":"https://github.com/PKU-Alignment/align-anything","owner":"PKU-Alignment","repo":"align-anything","owner_avatar_url":"https://avatars.githubusercontent.com/u/129283536?v=4","primary_language":"Python","stars":4666,"forks":505,"topics":["chameleon","dpo","large-language-models","multimodal","rlhf","vision-language-model"],"archived":false,"github_pushed_at":"2025-11-27T06:50:36+00:00","maintenance_label":"Slowing","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/pku-alignment-align-anything","markdown_url":"https://www.graphcanon.com/tools/pku-alignment-align-anything.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pku-alignment-align-anything","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pku-alignment-align-anything"}},{"type":"integrates_with","direction":"in","explanation":"Bisheng integrates with LlamaFactory to leverage its capability in fine-tuning over 100 large language models and vision-language models, thereby enhancing Bisheng's model management and application orchestration capabilities for enterprise AI applications.","successor_context":null,"tool":{"slug":"dataelement-bisheng","name":"bisheng","tagline":"BISHENG is an open LLM devops platform for next generation Enterprise AI applications","github_url":"https://github.com/dataelement/bisheng","owner":"dataelement","repo":"bisheng","owner_avatar_url":"https://avatars.githubusercontent.com/u/103249391?v=4","primary_language":"Python","stars":11879,"forks":1941,"topics":["agent","ai","chatbot","enterprise","finetune","genai","gpt","langchian","llama","llm","llmdevops","llmops","ocr","openai","orchestration","python","rag","react","sft","workflow"],"archived":false,"github_pushed_at":"2026-08-18T11:46:00+00:00","maintenance_label":"Very active","stars_delta_30d":348,"url":"https://www.graphcanon.com/tools/dataelement-bisheng","markdown_url":"https://www.graphcanon.com/tools/dataelement-bisheng.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dataelement-bisheng","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dataelement-bisheng"}},{"type":"integrates_with","direction":"in","explanation":"Cube Studio, a comprehensive machine learning and deep learning platform that supports the entire MLOps process including model training and deployment, integrates with LlamaFactory, a repository designed for efficiently fine-tuning over 100 large language models and vision-language models. This integration allows users to leverage LlamaFactory's capabilities within Cube Studio’s environment for a","successor_context":null,"tool":{"slug":"tencentmusic-cube-studio","name":"cube-studio","tagline":"一站式机器学习/深度学习/AI开发平台","github_url":"https://github.com/tencentmusic/cube-studio","owner":"tencentmusic","repo":"cube-studio","owner_avatar_url":"https://avatars.githubusercontent.com/u/53810446?v=4","primary_language":null,"stars":5077,"forks":880,"topics":["ai","aihub","argo","automl","deepseek","gpt","inference","kubeflow","kubernetes","llmops","mlops","notebook","pipeline","pytorch","spark","vgpu","workflow"],"archived":false,"github_pushed_at":"2026-07-11T06:55:31+00:00","maintenance_label":"Steady","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/tencentmusic-cube-studio","markdown_url":"https://www.graphcanon.com/tools/tencentmusic-cube-studio.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tencentmusic-cube-studio","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tencentmusic-cube-studio"}},{"type":"integrates_with","direction":"in","explanation":"Awesome-LLMOps serves as an aggregated list covering various LLMOps tools and aspects, including training frameworks which would include LlamaFactory. LlamaFactory is a specific tool designed for the fine-tuning of over 100 large language models and vision-language models, making it a relevant integration within the comprehensive scope of Awesome-LLMOps.","successor_context":null,"tool":{"slug":"tensorchord-awesome-llmops","name":"Awesome-LLMOps","tagline":"An awesome & curated list of best LLMOps tools for developers","github_url":"https://github.com/tensorchord/Awesome-LLMOps","owner":"tensorchord","repo":"Awesome-LLMOps","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Shell","stars":5915,"forks":993,"topics":["ai-development-tools","awesome-list","llmops","mlops"],"archived":false,"github_pushed_at":"2026-05-21T09:12:50+00:00","maintenance_label":"Slowing","stars_delta_30d":28,"url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops","markdown_url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-awesome-llmops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-awesome-llmops"}},{"type":"integrates_with","direction":"in","explanation":"MiniMax-01, which hosts the MiniMax-Text-01 and MiniMax-VL-01 models designed for text and vision-language tasks using Linear Attention, has an 'integrates with' relationship to LlamaFactory because LlamaFactory provides a platform for efficiently fine-tuning a variety of large language models and vision-language models, including those hosted in the MiniMax-01 repository.","successor_context":null,"tool":{"slug":"minimax-ai-minimax-01","name":"MiniMax-01","tagline":"Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention","github_url":"https://github.com/MiniMax-AI/MiniMax-01","owner":"MiniMax-AI","repo":"MiniMax-01","owner_avatar_url":"https://avatars.githubusercontent.com/u/194880281?v=4","primary_language":"Python","stars":3463,"forks":332,"topics":["large-language-models","llm","llms","minimax-text-01","minimax-vl-01","vision-language-model","vlm"],"archived":false,"github_pushed_at":"2025-07-07T12:24:30+00:00","maintenance_label":"Dormant","stars_delta_30d":17,"url":"https://www.graphcanon.com/tools/minimax-ai-minimax-01","markdown_url":"https://www.graphcanon.com/tools/minimax-ai-minimax-01.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/minimax-ai-minimax-01","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=minimax-ai-minimax-01"}},{"type":"integrates_with","direction":"in","explanation":"MGM integrates with LlamaFactory because MGM offers multi-modality vision language models for tasks such as image understanding and generation, while LlamaFactory provides a unified platform for fine-tuning these kinds of models efficiently. This integration allows users to leverage MGM's capabilities within the streamlined tuning environment provided by LlamaFactory.","successor_context":null,"tool":{"slug":"jia-lab-research-mgm","name":"MGM","tagline":"Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models","github_url":"https://github.com/JIA-Lab-research/MGM","owner":"JIA-Lab-research","repo":"MGM","owner_avatar_url":"https://avatars.githubusercontent.com/u/64006090?v=4","primary_language":"Python","stars":3331,"forks":276,"topics":["generation","large-language-models","vision-language-model"],"archived":false,"github_pushed_at":"2024-05-04T14:36:51+00:00","maintenance_label":"Dormant","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/jia-lab-research-mgm","markdown_url":"https://www.graphcanon.com/tools/jia-lab-research-mgm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jia-lab-research-mgm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jia-lab-research-mgm"}},{"type":"alternative","direction":"in","explanation":"OpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies.","successor_context":null,"tool":{"slug":"openpipe-openpipe","name":"OpenPipe","tagline":"Open-source fine-tuning and model-hosting platform","github_url":"https://github.com/OpenPipe/OpenPipe","owner":"OpenPipe","repo":"OpenPipe","owner_avatar_url":"https://avatars.githubusercontent.com/u/139012218?v=4","primary_language":"TypeScript","stars":2826,"forks":178,"topics":["ai","llm","llmops","prompt-engineering"],"archived":false,"github_pushed_at":"2024-05-25T00:18:13+00:00","maintenance_label":"Dormant","stars_delta_30d":14,"url":"https://www.graphcanon.com/tools/openpipe-openpipe","markdown_url":"https://www.graphcanon.com/tools/openpipe-openpipe.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openpipe-openpipe","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openpipe-openpipe"}},{"type":"integrates_with","direction":"in","explanation":"Gateway has an 'integrates with' relationship to LlamaFactory because Gateway provides a unified interface to call multiple local language models, which can include those fine-tuned using LlamaFactory's repository for 100+ large language and vision-language models.","successor_context":null,"tool":{"slug":"adaline-gateway","name":"gateway","tagline":"Unified SDK for calling over 200 LLMs","github_url":"https://github.com/adaline/gateway","owner":"adaline","repo":"gateway","owner_avatar_url":"https://avatars.githubusercontent.com/u/382430?v=4","primary_language":"TypeScript","stars":605,"forks":26,"topics":["ai","ai-agents","anthropic","language-model","llm","llmops","openai","prompt-engineering","togetherai","typescript"],"archived":false,"github_pushed_at":"2026-07-29T19:11:29+00:00","maintenance_label":"Active","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/adaline-gateway","markdown_url":"https://www.graphcanon.com/tools/adaline-gateway.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/adaline-gateway","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=adaline-gateway"}},{"type":"integrates_with","direction":"in","explanation":"END-TO-END-GENERATIVE-AI-PROJECTS integrates with LlamaFactory because END-TO-END-GENERATIVE-AI-PROJECTS provides a collection of projects that utilize Large Language Models (LLMs) for various applications, including deployment techniques. LlamaFactory serves as a repository for fine-tuning over 100 LLMs and vision-language models in an efficient manner, making it a suitable tool for the fine-tune","successor_context":null,"tool":{"slug":"gurpreetkaurjethra-end-to-end-generative-ai-projects","name":"END-TO-END-GENERATIVE-AI-PROJECTS","tagline":"End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects","github_url":"https://github.com/GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS","owner":"GURPREETKAURJETHRA","repo":"END-TO-END-GENERATIVE-AI-PROJECTS","owner_avatar_url":"https://avatars.githubusercontent.com/u/100081334?v=4","primary_language":null,"stars":628,"forks":181,"topics":["chainlit","finetuning-llms","gemini","generative-ai","gpt4o","gradio-python-llm","huggingface","langchain","large-language-models","llama","llama-index","llama3","llama3-meta-ai","llm","llmops","lora","mergekit","mistral","openai-api","qlora"],"archived":false,"github_pushed_at":"2025-01-24T07:20:37+00:00","maintenance_label":"Dormant","stars_delta_30d":23,"url":"https://www.graphcanon.com/tools/gurpreetkaurjethra-end-to-end-generative-ai-projects","markdown_url":"https://www.graphcanon.com/tools/gurpreetkaurjethra-end-to-end-generative-ai-projects.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/gurpreetkaurjethra-end-to-end-generative-ai-projects","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=gurpreetkaurjethra-end-to-end-generative-ai-projects"}},{"type":"alternative","direction":"in","explanation":"LlamaFactory focuses on efficient fine-tuning of various LLMs and VLMs, which is an alternative approach to creating instruction-tuned models like Video-LLaMA that aim at audio-visual understanding.","successor_context":null,"tool":{"slug":"damo-nlp-sg-video-llama","name":"Video-LLaMA","tagline":"Instruction-tuned Audio-Visual Language Model for Video Understanding","github_url":"https://github.com/DAMO-NLP-SG/Video-LLaMA","owner":"DAMO-NLP-SG","repo":"Video-LLaMA","owner_avatar_url":"https://avatars.githubusercontent.com/u/130957594?v=4","primary_language":"Python","stars":3141,"forks":287,"topics":["blip2","cross-modal-pretraining","large-language-models","llama","minigpt4","multi-modal-chatgpt","video-language-pretraining","vision-language-pretraining"],"archived":false,"github_pushed_at":"2024-06-04T07:06:41+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/damo-nlp-sg-video-llama","markdown_url":"https://www.graphcanon.com/tools/damo-nlp-sg-video-llama.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/damo-nlp-sg-video-llama","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=damo-nlp-sg-video-llama"}},{"type":"integrates_with","direction":"in","explanation":"JeecgBoot 可能使用 LLamaFactory 统一高效的精调模型来支持其 Skills 功能。","successor_context":null,"tool":{"slug":"jeecgboot-jeecgboot","name":"JeecgBoot","tagline":"AI低代码平台，实现快速生成前后端系统及模块","github_url":"https://github.com/jeecgboot/JeecgBoot","owner":"jeecgboot","repo":"JeecgBoot","owner_avatar_url":"https://avatars.githubusercontent.com/u/86360035?v=4","primary_language":"Java","stars":47405,"forks":16153,"topics":["activiti","agent","ai","antd","claude-code","cli","codegenerator","codex","flowable","langchain4j","llm","low-code","mcp","mybatis-plus","rag","skills","spring-ai","springboot","springcloud","vue3"],"archived":false,"github_pushed_at":"2026-08-14T06:09:59+00:00","maintenance_label":"Very active","stars_delta_30d":301,"url":"https://www.graphcanon.com/tools/jeecgboot-jeecgboot","markdown_url":"https://www.graphcanon.com/tools/jeecgboot-jeecgboot.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jeecgboot-jeecgboot","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jeecgboot-jeecgboot"}}],"neighbours":[{"slug":"tensorflow-tensorflow","name":"tensorflow","tagline":"An Open Source Machine Learning Framework for Everyone","github_url":"https://github.com/tensorflow/tensorflow","owner":"tensorflow","repo":"tensorflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/15658638?v=4","primary_language":"C++","stars":196758,"forks":75773,"topics":["deep-learning","deep-neural-networks","distributed","machine-learning","ml","neural-network","python","tensorflow"],"archived":false,"github_pushed_at":"2026-08-03T06:01:06+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/tensorflow-tensorflow","markdown_url":"https://www.graphcanon.com/tools/tensorflow-tensorflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorflow-tensorflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorflow-tensorflow","shared_categories":["llm-frameworks","model-training"]},{"slug":"significant-gravitas-autogpt","name":"AutoGPT","tagline":"AutoGPT is the vision of accessible AI for everyone, to use and to build on.","github_url":"https://github.com/Significant-Gravitas/AutoGPT","owner":"Significant-Gravitas","repo":"AutoGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/130738209?v=4","primary_language":"Python","stars":186623,"forks":46070,"topics":["agentic-ai","agents","ai","artificial-intelligence","autonomous-agents","claude","gpt","llama-api","llm","openai","python"],"archived":false,"github_pushed_at":"2026-08-15T17:35:04+00:00","maintenance_label":"Very active","stars_delta_30d":1043,"url":"https://www.graphcanon.com/tools/significant-gravitas-autogpt","markdown_url":"https://www.graphcanon.com/tools/significant-gravitas-autogpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/significant-gravitas-autogpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=significant-gravitas-autogpt","shared_categories":["llm-frameworks"]},{"slug":"ollama-ollama","name":"ollama","tagline":"Get up and running with various large language models using Ollama.","github_url":"https://github.com/ollama/ollama","owner":"ollama","repo":"ollama","owner_avatar_url":"https://avatars.githubusercontent.com/u/151674099?v=4","primary_language":"Go","stars":177524,"forks":17229,"topics":["deepseek","gemma","gemma3","glm","go","golang","gpt-oss","llama","llama3","llm","llms","minimax","mistral","ollama","qwen"],"archived":false,"github_pushed_at":"2026-07-31T23:59:29+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/ollama-ollama","markdown_url":"https://www.graphcanon.com/tools/ollama-ollama.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ollama-ollama","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ollama-ollama","shared_categories":["llm-frameworks"]},{"slug":"f-prompts-chat","name":"prompts.chat","tagline":"Share, discover, and collect prompts from the community","github_url":"https://github.com/f/prompts.chat","owner":"f","repo":"prompts.chat","owner_avatar_url":"https://avatars.githubusercontent.com/u/196477?v=4","primary_language":"HTML","stars":167212,"forks":21586,"topics":["ai","artificial-intelligence","awesome-list","chatgpt","chatgpt-prompts","claude","gemini","gpt","gpt-4","llm","machine-learning","nextjs","open-source","openai","prompt-engineering","prompts","prompts-chat","typescript"],"archived":false,"github_pushed_at":"2026-08-15T03:18:07+00:00","maintenance_label":"Very active","stars_delta_30d":1347,"url":"https://www.graphcanon.com/tools/f-prompts-chat","markdown_url":"https://www.graphcanon.com/tools/f-prompts-chat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/f-prompts-chat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=f-prompts-chat","shared_categories":["llm-frameworks"]},{"slug":"huggingface-transformers","name":"transformers","tagline":"Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models","github_url":"https://github.com/huggingface/transformers","owner":"huggingface","repo":"transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":164121,"forks":34249,"topics":["audio","deep-learning","deepseek","gemma","glm","hacktoberfest","llm","machine-learning","model-hub","natural-language-processing","nlp","pretrained-models","python","pytorch","pytorch-transformers","qwen","speech-recognition","transformer","vlm"],"archived":false,"github_pushed_at":"2026-08-15T22:28:12+00:00","maintenance_label":"Very active","stars_delta_30d":1457,"url":"https://www.graphcanon.com/tools/huggingface-transformers","markdown_url":"https://www.graphcanon.com/tools/huggingface-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-transformers","shared_categories":["llm-frameworks","model-training"]},{"slug":"langflow-ai-langflow","name":"langflow","tagline":"Tool for building and deploying AI-powered agents and workflows","github_url":"https://github.com/langflow-ai/langflow","owner":"langflow-ai","repo":"langflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/85702467?v=4","primary_language":"Python","stars":152744,"forks":9747,"topics":["agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow"],"archived":false,"github_pushed_at":"2026-08-02T00:44:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/langflow-ai-langflow","markdown_url":"https://www.graphcanon.com/tools/langflow-ai-langflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langflow-ai-langflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langflow-ai-langflow","shared_categories":["model-training"]},{"slug":"open-webui-open-webui","name":"open-webui","tagline":"User-friendly AI Interface (Supports Ollama, OpenAI API, ...)","github_url":"https://github.com/open-webui/open-webui","owner":"open-webui","repo":"open-webui","owner_avatar_url":"https://avatars.githubusercontent.com/u/158137808?v=4","primary_language":"Python","stars":148875,"forks":21676,"topics":["ai","llm","llm-ui","llm-webui","llms","mcp","ollama","ollama-webui","open-webui","openai","openapi","rag","self-hosted","ui","webui"],"archived":false,"github_pushed_at":"2026-08-15T07:10:16+00:00","maintenance_label":"Very active","stars_delta_30d":3224,"url":"https://www.graphcanon.com/tools/open-webui-open-webui","markdown_url":"https://www.graphcanon.com/tools/open-webui-open-webui.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/open-webui-open-webui","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=open-webui-open-webui","shared_categories":["llm-frameworks"]},{"slug":"langchain-ai-langchain","name":"langchain","tagline":"The agent engineering platform.","github_url":"https://github.com/langchain-ai/langchain","owner":"langchain-ai","repo":"langchain","owner_avatar_url":"https://avatars.githubusercontent.com/u/126733545?v=4","primary_language":"Python","stars":143615,"forks":23930,"topics":["agents","ai","ai-agents","anthropic","chatgpt","deepagents","enterprise","framework","gemini","generative-ai","langchain","langgraph","llm","multiagent","open-source","openai","pydantic","python","rag","typescript"],"archived":false,"github_pushed_at":"2026-08-07T08:27:07+00:00","maintenance_label":"Very active","stars_delta_30d":2337,"url":"https://www.graphcanon.com/tools/langchain-ai-langchain","markdown_url":"https://www.graphcanon.com/tools/langchain-ai-langchain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain-ai-langchain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain-ai-langchain","shared_categories":["llm-frameworks"]},{"slug":"microsoft-generative-ai-for-beginners","name":"generative-ai-for-beginners","tagline":"21 Lessons for Getting Started with Generative AI","github_url":"https://github.com/microsoft/generative-ai-for-beginners","owner":"microsoft","repo":"generative-ai-for-beginners","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":113577,"forks":60972,"topics":["ai","azure","chatgpt","dall-e","generative-ai","generativeai","gpt","language-model","llms","microsoft-for-beginners","openai","prompt-engineering","semantic-search","transformers"],"archived":false,"github_pushed_at":"2026-07-23T03:43:21+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/microsoft-generative-ai-for-beginners","markdown_url":"https://www.graphcanon.com/tools/microsoft-generative-ai-for-beginners.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-generative-ai-for-beginners","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-generative-ai-for-beginners","shared_categories":["llm-frameworks"]},{"slug":"rasbt-llms-from-scratch","name":"LLMs-from-scratch","tagline":"Implement a ChatGPT-like LLM in PyTorch from scratch, step by step","github_url":"https://github.com/rasbt/LLMs-from-scratch","owner":"rasbt","repo":"LLMs-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/5618407?v=4","primary_language":"Jupyter Notebook","stars":102733,"forks":15748,"topics":["ai","artificial-intelligence","attention-mechanism","deep-learning","finetuning","from-scratch","generative-ai","gpt","instruction-tuning","language-model","large-language-models","llm","machine-learning","natural-language-processing","pretraining","python","pytorch","tokenizer","transformers"],"archived":false,"github_pushed_at":"2026-08-10T01:11:40+00:00","maintenance_label":"Very active","stars_delta_30d":3541,"url":"https://www.graphcanon.com/tools/rasbt-llms-from-scratch","markdown_url":"https://www.graphcanon.com/tools/rasbt-llms-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rasbt-llms-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rasbt-llms-from-scratch","shared_categories":["llm-frameworks","model-training"]},{"slug":"harry0703-moneyprinterturbo","name":"MoneyPrinterTurbo","tagline":"Generate short videos with one click using AI LLM","github_url":"https://github.com/harry0703/MoneyPrinterTurbo","owner":"harry0703","repo":"MoneyPrinterTurbo","owner_avatar_url":"https://avatars.githubusercontent.com/u/4928832?v=4","primary_language":"Python","stars":102619,"forks":15488,"topics":["ai-video-generator","content-creation","ffmpeg","instagram-reels","llm","python","short-video","subtitles","text-to-speech","tiktok","video-automation","video-workflow","workflow-automation","youtube-shorts"],"archived":false,"github_pushed_at":"2026-08-11T02:41:36+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/harry0703-moneyprinterturbo","markdown_url":"https://www.graphcanon.com/tools/harry0703-moneyprinterturbo.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/harry0703-moneyprinterturbo","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=harry0703-moneyprinterturbo","shared_categories":["llm-frameworks"]},{"slug":"pytorch-pytorch","name":"pytorch","tagline":"Tensors and Dynamic neural networks in Python with strong GPU acceleration","github_url":"https://github.com/pytorch/pytorch","owner":"pytorch","repo":"pytorch","owner_avatar_url":"https://avatars.githubusercontent.com/u/21003710?v=4","primary_language":"Python","stars":102144,"forks":28650,"topics":["autograd","deep-learning","gpu","machine-learning","neural-network","numpy","python","tensor"],"archived":false,"github_pushed_at":"2026-08-03T06:00:50+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/pytorch-pytorch","markdown_url":"https://www.graphcanon.com/tools/pytorch-pytorch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pytorch-pytorch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pytorch-pytorch","shared_categories":["model-training"]}]}}