{"data":{"node":{"slug":"lightning-ai-litgpt","name":"litgpt","tagline":"High-performance LLMs with recipes for pretraining, finetuning and deployment","github_url":"https://github.com/Lightning-AI/litgpt","owner":"Lightning-AI","repo":"litgpt","owner_avatar_url":"https://avatars.githubusercontent.com/u/58386951?v=4","primary_language":"Python","stars":13605,"forks":1483,"topics":["ai","artificial-intelligence","deep-learning","large-language-models","llm","llm-inference","llms"],"archived":false,"github_pushed_at":"2026-07-20T10:24:12+00:00","maintenance_label":"Active","stars_delta_30d":137,"url":"https://www.graphcanon.com/tools/lightning-ai-litgpt","markdown_url":"https://www.graphcanon.com/tools/lightning-ai-litgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lightning-ai-litgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lightning-ai-litgpt"},"categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"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":"ai","name":"ai"},{"slug":"artificial-intelligence","name":"artificial-intelligence"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm-inference","name":"llm-inference"},{"slug":"llms","name":"llms"}],"edges":[{"type":"alternative","direction":"out","explanation":"Both Ollama and LitGPT offer a way to get up and running with large language models, though Ollama may have a different focus or set of tools compared to the more comprehensive nature of LitGPT.","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 LitGPT and adaline/gateway offer gateways to interact with a variety of LLMs, though they cover different sets.","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":"depends_on","direction":"out","explanation":"LitGPT depends on Hugging Face's transformers library for defining and training state-of-the-art machine learning models, which includes many of the LLMs LitGPT supports.","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":"alternative","direction":"out","explanation":"LitGPT and berriAI/LiteLLM both provide gateways to access a wide range of LLMs, with LiteLLM focusing on an open-source AI gateway approach.","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":"LitGPT and Hugging Face's text-generation-inference both focus on the inference of LLMs, but they cater to different audiences and use cases.","successor_context":null,"tool":{"slug":"huggingface-text-generation-inference","name":"text-generation-inference","tagline":"Large Language Model Text Generation Inference","github_url":"https://github.com/huggingface/text-generation-inference","owner":"huggingface","repo":"text-generation-inference","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":10888,"forks":1274,"topics":["bloom","deep-learning","falcon","gpt","inference","nlp","pytorch","starcoder","transformer"],"archived":true,"github_pushed_at":"2026-03-21T11:34:22+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/huggingface-text-generation-inference","markdown_url":"https://www.graphcanon.com/tools/huggingface-text-generation-inference.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-text-generation-inference","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-text-generation-inference"}},{"type":"alternative","direction":"out","explanation":"LitGPT and eugeneyan/open_llms both provide lists of open-source LLMs, making them alternatives in terms of offering accessible resources for developers.","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":"integrates_with","direction":"out","explanation":"LitGPT can integrate with pathwaycom/llm_app as it provides templates and frameworks for deploying LLM applications.","successor_context":null,"tool":{"slug":"pathwaycom-llm-app","name":"llm-app","tagline":"Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.","github_url":"https://github.com/pathwaycom/llm-app","owner":"pathwaycom","repo":"llm-app","owner_avatar_url":"https://avatars.githubusercontent.com/u/25750857?v=4","primary_language":"Jupyter Notebook","stars":59037,"forks":1466,"topics":["chatbot","hugging-face","llm","llm-local","llm-prompting","llm-security","llmops","machine-learning","open-ai","pathway","rag","real-time","retrieval-augmented-generation","vector-database","vector-index"],"archived":false,"github_pushed_at":"2026-07-05T17:59:07+00:00","maintenance_label":"Steady","stars_delta_30d":11,"url":"https://www.graphcanon.com/tools/pathwaycom-llm-app","markdown_url":"https://www.graphcanon.com/tools/pathwaycom-llm-app.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pathwaycom-llm-app","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pathwaycom-llm-app"}},{"type":"alternative","direction":"out","explanation":"Both LitGPT and vllm offer tools for serving LLMs, with VLLM emphasizing speed and efficiency in inference.","successor_context":null,"tool":{"slug":"vllm-project-vllm","name":"vllm","tagline":"A high-throughput and memory-efficient inference and serving engine for LLMs","github_url":"https://github.com/vllm-project/vllm","owner":"vllm-project","repo":"vllm","owner_avatar_url":"https://avatars.githubusercontent.com/u/136984999?v=4","primary_language":"Python","stars":87847,"forks":20135,"topics":["amd","blackwell","cuda","deepseek","deepseek-v3","gpt","gpt-oss","inference","kimi","llama","llm","llm-serving","model-serving","moe","openai","pytorch","qwen","qwen3","tpu","transformer"],"archived":false,"github_pushed_at":"2026-08-01T11:55:36+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/vllm-project-vllm","markdown_url":"https://www.graphcanon.com/tools/vllm-project-vllm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/vllm-project-vllm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=vllm-project-vllm"}},{"type":"related","direction":"out","explanation":"LitGPT and fareedkhan-dev/train_llm_from_scratch both deal with the training of LLMs, but they approach it differently (LitGPT offers pre-trained models while train_llm_from_scratch focuses on from-scratch training).","successor_context":null,"tool":{"slug":"fareedkhan-dev-train-llm-from-scratch","name":"train-llm-from-scratch","tagline":"A straightforward method for training your LLM from raw text to aligned model generation","github_url":"https://github.com/FareedKhan-dev/train-llm-from-scratch","owner":"FareedKhan-dev","repo":"train-llm-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/63067900?v=4","primary_language":"Python","stars":9141,"forks":1264,"topics":["gemini","large-language-models","llm","openai","training","transformers"],"archived":false,"github_pushed_at":"2026-08-17T05:07:26+00:00","maintenance_label":"Very active","stars_delta_30d":765,"url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch","markdown_url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/fareedkhan-dev-train-llm-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=fareedkhan-dev-train-llm-from-scratch"}},{"type":"alternative","direction":"in","explanation":"LitGPT focuses on high-performance LLLMs with comprehensive recipes for various stages, similar to OpenLLM's purpose but from a different angle, making them alternatives.","successor_context":null,"tool":{"slug":"bentoml-openllm","name":"OpenLLM","tagline":"Run any open-source LLMs as OpenAI compatible API endpoint in the cloud.","github_url":"https://github.com/bentoml/OpenLLM","owner":"bentoml","repo":"OpenLLM","owner_avatar_url":"https://avatars.githubusercontent.com/u/49176046?v=4","primary_language":"Python","stars":12454,"forks":828,"topics":["bentoml","fine-tuning","llama","llama2","llama3-1","llama3-2","llama3-2-vision","llm","llm-inference","llm-ops","llm-serving","llmops","mistral","mlops","model-inference","open-source-llm","openllm","vicuna"],"archived":false,"github_pushed_at":"2026-08-03T16:59:03+00:00","maintenance_label":"Very active","stars_delta_30d":66,"url":"https://www.graphcanon.com/tools/bentoml-openllm","markdown_url":"https://www.graphcanon.com/tools/bentoml-openllm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bentoml-openllm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bentoml-openllm"}},{"type":"related","direction":"in","explanation":"Both Megatron-LM and litgpt deal with large-scale language model training but focus on slightly different aspects. While Megatron-LM emphasizes research and scaling transformer models across multiple GPUs, litgpt provides specific LLM recipes for various stages of model development.","successor_context":null,"tool":{"slug":"nvidia-megatron-lm","name":"Megatron-LM","tagline":"Ongoing research training transformer models at scale","github_url":"https://github.com/NVIDIA/Megatron-LM","owner":"NVIDIA","repo":"Megatron-LM","owner_avatar_url":"https://avatars.githubusercontent.com/u/1728152?v=4","primary_language":"Python","stars":17341,"forks":4333,"topics":["large-language-models","model-para","transformers"],"archived":false,"github_pushed_at":"2026-08-06T23:12:52+00:00","maintenance_label":"Very active","stars_delta_30d":353,"url":"https://www.graphcanon.com/tools/nvidia-megatron-lm","markdown_url":"https://www.graphcanon.com/tools/nvidia-megatron-lm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nvidia-megatron-lm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nvidia-megatron-lm"}},{"type":"integrates_with","direction":"in","explanation":"Text Generation Inference can be integrated with Lightning AI's litgpt to perform high-performance LLLMs pretraining, fine-tuning, and deployment tasks.","successor_context":null,"tool":{"slug":"huggingface-text-generation-inference","name":"text-generation-inference","tagline":"Large Language Model Text Generation Inference","github_url":"https://github.com/huggingface/text-generation-inference","owner":"huggingface","repo":"text-generation-inference","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":10888,"forks":1274,"topics":["bloom","deep-learning","falcon","gpt","inference","nlp","pytorch","starcoder","transformer"],"archived":true,"github_pushed_at":"2026-03-21T11:34:22+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/huggingface-text-generation-inference","markdown_url":"https://www.graphcanon.com/tools/huggingface-text-generation-inference.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-text-generation-inference","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-text-generation-inference"}},{"type":"alternative","direction":"in","explanation":"Both libraries focus on training large language models from scratch but with different approaches - `train-llm-from-scratch` is a simple, standalone method while lightning-ai-litgpt offers high-performance models and scaling solutions.","successor_context":null,"tool":{"slug":"fareedkhan-dev-train-llm-from-scratch","name":"train-llm-from-scratch","tagline":"A straightforward method for training your LLM from raw text to aligned model generation","github_url":"https://github.com/FareedKhan-dev/train-llm-from-scratch","owner":"FareedKhan-dev","repo":"train-llm-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/63067900?v=4","primary_language":"Python","stars":9141,"forks":1264,"topics":["gemini","large-language-models","llm","openai","training","transformers"],"archived":false,"github_pushed_at":"2026-08-17T05:07:26+00:00","maintenance_label":"Very active","stars_delta_30d":765,"url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch","markdown_url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/fareedkhan-dev-train-llm-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=fareedkhan-dev-train-llm-from-scratch"}},{"type":"related","direction":"in","explanation":"litgpt提供了多款高性能的中文LLM，并且包括了预训练、微调和部署方案，而awesome-pretrained-chinese-nlp-models是高质量模型集合。二者在目标用户和技术范围上有一定的交集。","successor_context":null,"tool":{"slug":"lonepatient-awesome-pretrained-chinese-nlp-models","name":"awesome-pretrained-chinese-nlp-models","tagline":"Curated list of high-quality Chinese pretrained NLP models","github_url":"https://github.com/lonePatient/awesome-pretrained-chinese-nlp-models","owner":"lonePatient","repo":"awesome-pretrained-chinese-nlp-models","owner_avatar_url":"https://avatars.githubusercontent.com/u/35169745?v=4","primary_language":"Python","stars":5579,"forks":514,"topics":["bert","chinese","dataset","ernie","gpt","gpt-2","large-language-models","llm","multimodel","nezha","nlp","nlu-nlg","pangu","pretrained-models","roberta","simbert","xlnet"],"archived":false,"github_pushed_at":"2026-08-14T03:30:33+00:00","maintenance_label":"Very active","stars_delta_30d":8,"url":"https://www.graphcanon.com/tools/lonepatient-awesome-pretrained-chinese-nlp-models","markdown_url":"https://www.graphcanon.com/tools/lonepatient-awesome-pretrained-chinese-nlp-models.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lonepatient-awesome-pretrained-chinese-nlp-models","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lonepatient-awesome-pretrained-chinese-nlp-models"}},{"type":"related","direction":"in","explanation":"Both flash-linear-attention and Lightning AI LIT-GPT are related in the space of large language model (LLM) optimization and efficient architectures, but they do not directly integrate or succeed each other.","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":"integrates_with","direction":"in","explanation":"OptiLLM could potentially integrate with litgpt, as it focuses on high-performance LLM deployment and pretraining, while OptiLLM can enhance inference performance by applying techniques that do not require retraining.","successor_context":null,"tool":{"slug":"algorithmicsuperintelligence-optillm","name":"optillm","tagline":"Optimizing inference proxy for LLMs","github_url":"https://github.com/algorithmicsuperintelligence/optillm","owner":"algorithmicsuperintelligence","repo":"optillm","owner_avatar_url":"https://avatars.githubusercontent.com/u/238764598?v=4","primary_language":"Python","stars":4244,"forks":385,"topics":["agent","agentic-ai","agentic-framework","agentic-workflow","agents","api-gateway","chain-of-thought","genai","large-language-models","llm","llm-inference","llmapi","mixture-of-experts","moa","monte-carlo-tree-search","openai","openai-api","optimization","prompt-engineering","proxy-server"],"archived":false,"github_pushed_at":"2026-07-18T12:56:27+00:00","maintenance_label":"Steady","stars_delta_30d":67,"url":"https://www.graphcanon.com/tools/algorithmicsuperintelligence-optillm","markdown_url":"https://www.graphcanon.com/tools/algorithmicsuperintelligence-optillm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/algorithmicsuperintelligence-optillm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=algorithmicsuperintelligence-optillm"}},{"type":"integrates_with","direction":"in","explanation":"TextGrad is noted to introduce an engine based on litellm, which supports models like those in the litgpt collection. This integration enables TextGrad to leverage a variety of high-performance language models for its textual gradient optimization, highlighting a direct link between these tools.","successor_context":null,"tool":{"slug":"zou-group-textgrad","name":"textgrad","tagline":"Automatic 'Differentiation' via Text using Large Language Models to Backpropagate Textual Gradients","github_url":"https://github.com/zou-group/textgrad","owner":"zou-group","repo":"textgrad","owner_avatar_url":"https://avatars.githubusercontent.com/u/30398052?v=4","primary_language":"Python","stars":3700,"forks":294,"topics":["ai-optimization","compound-systems","large-language-models","prompt-optimization","textual-gradients"],"archived":false,"github_pushed_at":"2025-07-25T14:30:39+00:00","maintenance_label":"Dormant","stars_delta_30d":44,"url":"https://www.graphcanon.com/tools/zou-group-textgrad","markdown_url":"https://www.graphcanon.com/tools/zou-group-textgrad.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zou-group-textgrad","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zou-group-textgrad"}},{"type":"related","direction":"in","explanation":"NExT-GPT and litGPT both focus on advanced LLM capabilities but with a distinct emphasis on multimodality, making them related tools rather than direct integrations or dependencies.","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":"alternative","direction":"in","explanation":"OpenPipe could be seen as an alternative to Lightning AI's LITGPT in terms of providing a platform for fine-tuning and deploying large language models.","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":"related","direction":"in","explanation":"While both DataDreamer and LitGPT deal with aspects of LLM (Large Language Model) management, the scope is somewhat different as LitGPT focuses more on recipes for pretraining, finetuning, and deployment at scale compared to DataDreamer's focus on synthetic data generation.","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"}}],"neighbours":[{"slug":"alexsjones-llmfit","name":"llmfit","tagline":"Hundreds of models & providers. One command to find what runs on your hardware.","github_url":"https://github.com/AlexsJones/llmfit","owner":"AlexsJones","repo":"llmfit","owner_avatar_url":"https://avatars.githubusercontent.com/u/1235925?v=4","primary_language":"Rust","stars":31867,"forks":1978,"topics":["gguf","llm","localai","mlx","skill","unsloth"],"archived":false,"github_pushed_at":"2026-08-14T07:36:41+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/alexsjones-llmfit","markdown_url":"https://www.graphcanon.com/tools/alexsjones-llmfit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alexsjones-llmfit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alexsjones-llmfit","shared_categories":["model-training","llm-frameworks"]},{"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","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","shared_categories":["llm-frameworks"]},{"slug":"steven2358-awesome-generative-ai","name":"awesome-generative-ai","tagline":"A curated list of modern Generative Artificial Intelligence projects and services","github_url":"https://github.com/steven2358/awesome-generative-ai","owner":"steven2358","repo":"awesome-generative-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/164072?v=4","primary_language":null,"stars":12501,"forks":1990,"topics":["ai","artificial-intelligence","awesome","awesome-list","generative-ai","generative-art","large-language-models","llm"],"archived":false,"github_pushed_at":"2026-08-03T10:58:05+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/steven2358-awesome-generative-ai","markdown_url":"https://www.graphcanon.com/tools/steven2358-awesome-generative-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/steven2358-awesome-generative-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=steven2358-awesome-generative-ai","shared_categories":["llm-frameworks","inference-serving"]},{"slug":"simonw-llm","name":"llm","tagline":"Access large language models from the command-line","github_url":"https://github.com/simonw/llm","owner":"simonw","repo":"llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/9599?v=4","primary_language":"Python","stars":12324,"forks":939,"topics":["ai","llms","openai"],"archived":false,"github_pushed_at":"2026-08-05T14:29:09+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/simonw-llm","markdown_url":"https://www.graphcanon.com/tools/simonw-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/simonw-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=simonw-llm","shared_categories":["llm-frameworks","inference-serving"]},{"slug":"oumi-ai-oumi","name":"oumi","tagline":"Easily fine-tune, evaluate and deploy open source LLMs/VLMs","github_url":"https://github.com/oumi-ai/oumi","owner":"oumi-ai","repo":"oumi","owner_avatar_url":"https://avatars.githubusercontent.com/u/167452922?v=4","primary_language":"Python","stars":9359,"forks":780,"topics":["dpo","evaluation","fine-tuning","gpt-oss","gpt-oss-120b","gpt-oss-20b","inference","llama","llms","sft","slms","vlms"],"archived":false,"github_pushed_at":"2026-07-24T05:44:23+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/oumi-ai-oumi","markdown_url":"https://www.graphcanon.com/tools/oumi-ai-oumi.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/oumi-ai-oumi","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=oumi-ai-oumi","shared_categories":["model-training","inference-serving"]},{"slug":"fareedkhan-dev-train-llm-from-scratch","name":"train-llm-from-scratch","tagline":"A straightforward method for training your LLM from raw text to aligned model generation","github_url":"https://github.com/FareedKhan-dev/train-llm-from-scratch","owner":"FareedKhan-dev","repo":"train-llm-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/63067900?v=4","primary_language":"Python","stars":9141,"forks":1264,"topics":["gemini","large-language-models","llm","openai","training","transformers"],"archived":false,"github_pushed_at":"2026-08-17T05:07:26+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch","markdown_url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/fareedkhan-dev-train-llm-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=fareedkhan-dev-train-llm-from-scratch","shared_categories":["model-training","inference-serving"]},{"slug":"wangrongsheng-awesome-llm-resources","name":"awesome-LLM-resources","tagline":"Summary of the world's best LLM resources.","github_url":"https://github.com/WangRongsheng/awesome-LLM-resources","owner":"WangRongsheng","repo":"awesome-LLM-resources","owner_avatar_url":"https://avatars.githubusercontent.com/u/55651568?v=4","primary_language":null,"stars":8845,"forks":950,"topics":["awesome-list","book","course","large-language-models","llama","llm","mistral","openai","qwen","rag","retrieval-augmented-generation","webui"],"archived":false,"github_pushed_at":"2026-08-14T15:54:28+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources","markdown_url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wangrongsheng-awesome-llm-resources","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wangrongsheng-awesome-llm-resources","shared_categories":["model-training","llm-frameworks","inference-serving"]},{"slug":"andyyyy64-whichllm","name":"whichllm","tagline":"Command-line tool to find and benchmark local LLM performance","github_url":"https://github.com/Andyyyy64/whichllm","owner":"Andyyyy64","repo":"whichllm","owner_avatar_url":"https://avatars.githubusercontent.com/u/105579829?v=4","primary_language":"Python","stars":6225,"forks":330,"topics":["ai","apple-silicon","benchmarks","cli","command-line-tool","gguf","gpu","huggingface","inference","llm","local-llm","ollama","python","vram"],"archived":false,"github_pushed_at":"2026-08-05T07:15:32+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/andyyyy64-whichllm","markdown_url":"https://www.graphcanon.com/tools/andyyyy64-whichllm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/andyyyy64-whichllm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=andyyyy64-whichllm","shared_categories":["inference-serving"]},{"slug":"stochasticai-xturing","name":"xTuring","tagline":"Personalize and control open-source LLMs with ease","github_url":"https://github.com/stochasticai/xTuring","owner":"stochasticai","repo":"xTuring","owner_avatar_url":"https://avatars.githubusercontent.com/u/66399337?v=4","primary_language":"Python","stars":2670,"forks":210,"topics":["adapter","deep-learning","fine-tuning","finetuning","gen-ai","generative-ai","gpt-2","gpt-j","language-model","llama","llm","lora","mistral","mixed-precision","peft","quantization"],"archived":false,"github_pushed_at":"2026-03-04T23:07:06+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/stochasticai-xturing","markdown_url":"https://www.graphcanon.com/tools/stochasticai-xturing.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/stochasticai-xturing","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=stochasticai-xturing","shared_categories":["model-training","llm-frameworks"]},{"slug":"huangowen-awesome-llm-compression","name":"Awesome-LLM-Compression","tagline":"Awesome LLM compression research papers and tools to accelerate LLM training and inference.","github_url":"https://github.com/HuangOwen/Awesome-LLM-Compression","owner":"HuangOwen","repo":"Awesome-LLM-Compression","owner_avatar_url":"https://avatars.githubusercontent.com/u/24937399?v=4","primary_language":null,"stars":1859,"forks":129,"topics":[],"archived":false,"github_pushed_at":"2026-06-30T15:26:46+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/huangowen-awesome-llm-compression","markdown_url":"https://www.graphcanon.com/tools/huangowen-awesome-llm-compression.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huangowen-awesome-llm-compression","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huangowen-awesome-llm-compression","shared_categories":["llm-frameworks","inference-serving"]},{"slug":"arahim3-mlx-tune","name":"mlx-tune","tagline":"Fine-tune LLMs on your Mac with Apple Silicon for various tasks including SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR.","github_url":"https://github.com/ARahim3/mlx-tune","owner":"ARahim3","repo":"mlx-tune","owner_avatar_url":"https://avatars.githubusercontent.com/u/41390319?v=4","primary_language":"Python","stars":1372,"forks":88,"topics":["apple-silicon","deep-learning","huggingface","large-language-models","llm","llm-finetuning","local-llm","lora","machine-learning","macos","mlx","on-device-ai","peft","speech-recognition","speech-to-text","text-to-speech","transformers","unsloth","vision-language-model","whisper"],"archived":false,"github_pushed_at":"2026-06-23T12:24:30+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/arahim3-mlx-tune","markdown_url":"https://www.graphcanon.com/tools/arahim3-mlx-tune.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/arahim3-mlx-tune","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=arahim3-mlx-tune","shared_categories":["model-training","llm-frameworks"]},{"slug":"harleyszhang-llm-note","name":"llm_note","tagline":"LLM notes covering model inference transformer structures and framework analysis","github_url":"https://github.com/harleyszhang/llm_note","owner":"harleyszhang","repo":"llm_note","owner_avatar_url":"https://avatars.githubusercontent.com/u/37138671?v=4","primary_language":"Python","stars":889,"forks":88,"topics":["cuda-programming","kv-cache","llm","llm-inference","transformer-models","triton-kernels","vllm"],"archived":false,"github_pushed_at":"2026-07-02T16:44:08+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/harleyszhang-llm-note","markdown_url":"https://www.graphcanon.com/tools/harleyszhang-llm-note.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/harleyszhang-llm-note","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=harleyszhang-llm-note","shared_categories":["llm-frameworks","inference-serving"]}]}}