--- title: "torchtitan vs LLMs-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pytorch-torchtitan-vs-rasbt-llms-from-scratch" tools: ["pytorch-torchtitan", "rasbt-llms-from-scratch"] --- # torchtitan vs LLMs-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick torchtitan if here are critical facts about TorchTitan for decision-making:; pick LLMs-from-scratch if lLMs-from-scratch is a guide for building a ChatGPT-like language model using PyTorch, aimed at educational purposes and designed for use with accessible hardware. [torchtitan](https://github.com/pytorch/torchtitan) reports 5.7k GitHub stars, 983 forks, and 700 open issues, last pushed Sep 6, 2026. [LLMs-from-scratch](https://amzn.to/4fqvn0D) has 105k stars, 16k forks, and 2 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [torchtitan's repository](https://github.com/pytorch/torchtitan) and [LLMs-from-scratch's repository](https://github.com/rasbt/LLMs-from-scratch). | | [torchtitan](/tools/pytorch-torchtitan.md) | [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) | | --- | --- | --- | | Tagline | A PyTorch native platform for training generative AI models | Implement a ChatGPT-like LLM in PyTorch from scratch, step by step | | Stars | 5,706 | 105,176 | | Forks | 983 | 16,121 | | Open issues | 700 | 2 | | Language | Python | Jupyter Notebook | | Adopt for | Here are critical facts about TorchTitan for decision-making: | LLMs-from-scratch is a guide for building a ChatGPT-like language model using PyTorch, aimed at educational purposes and designed for use with accessible hardware. | | Persona | - | - | | Runtime | - | - | | License | TorchTitan is distributed under the BSD-3-Clause license. | The license is not specified as a standard open-source license, indicating that users should review the license terms carefully before use. | | Categories | Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [torchtitan](/tools/pytorch-torchtitan.md) | [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) | | --- | --- | --- | | Open issues (now) | 700 | 2 | | Stars delta | +113 (30d) | +2.4k (30d) | | Open issues delta | +51 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/pytorch-torchtitan/trust.md) | [trust report](/tools/rasbt-llms-from-scratch/trust.md) | ## Decision facts: torchtitan - **Requirements:** Facilitates training processes for generative AI models using PyTorch. - **Adopt for:** Here are critical facts about TorchTitan for decision-making: - **License detail:** TorchTitan is distributed under the BSD-3-Clause license. ## Decision facts: LLMs-from-scratch - **Requirements:** Min 8 GB RAM; The code automatically utilizes GPUs if they are available, but it is designed to run on conventional laptops without specialized hardware. - **Adopt for:** LLMs-from-scratch is a guide for building a ChatGPT-like language model using PyTorch, aimed at educational purposes and designed for use with accessible hardware. - **License detail:** The license is not specified as a standard open-source license, indicating that users should review the license terms carefully before use. ## Choose when ### Choose torchtitan if… - torchtitan is primarily Python; LLMs-from-scratch is Jupyter Notebook. - License: torchtitan is BSD-3-Clause, LLMs-from-scratch is Other. - Requirements: Facilitates training processes for generative AI models using PyTorch.. - Tags unique to torchtitan: generative models, pytorch, training platform. - Here are critical facts about TorchTitan for decision-making: ### Choose LLMs-from-scratch if… - LLMs-from-scratch is primarily Jupyter Notebook; torchtitan is Python. - License: LLMs-from-scratch is Other, torchtitan is BSD-3-Clause. - Requirements: Min 8 GB RAM; The code automatically utilizes GPUs if they are available, but it is designed to run on conventional laptops without specialized hardware.. - Tags unique to LLMs-from-scratch: ai, artificial-intelligence, attention-mechanism, deep-learning. - Also covers LLM Frameworks. - When you are interested in understanding the inner workings of large language models and want to build one from scratch using PyTorch. ## When NOT to use torchtitan - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use LLMs-from-scratch - If you are looking for a quick and efficient way to deploy a pre-trained language model without delving into the implementation details. - When you require a production-ready solution, as LLMs-from-scratch is primarily designed for educational purposes and may not be optimized for industrial use. ## Common questions ### What is the difference between torchtitan and LLMs-from-scratch? torchtitan: A PyTorch native platform for training generative AI models. LLMs-from-scratch: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step. See the comparison table for live GitHub stats and shared categories. ### When should I choose torchtitan over LLMs-from-scratch? Choose torchtitan over LLMs-from-scratch when torchtitan is primarily Python; LLMs-from-scratch is Jupyter Notebook; License: torchtitan is BSD-3-Clause, LLMs-from-scratch is Other; Requirements: Facilitates training processes for generative AI models using PyTorch.; Tags unique to torchtitan: generative models, pytorch, training platform; Here are critical facts about TorchTitan for decision-making:. ### When should I choose LLMs-from-scratch over torchtitan? Choose LLMs-from-scratch over torchtitan when LLMs-from-scratch is primarily Jupyter Notebook; torchtitan is Python; License: LLMs-from-scratch is Other, torchtitan is BSD-3-Clause; Requirements: Min 8 GB RAM; The code automatically utilizes GPUs if they are available, but it is designed to run on conventional laptops without specialized hardware.; Tags unique to LLMs-from-scratch: ai, artificial-intelligence, attention-mechanism, deep-learning; Also covers LLM Frameworks; When you are interested in understanding the inner workings of large language models and want to build one from scratch using PyTorch. ### When should I avoid torchtitan? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid LLMs-from-scratch? If you are looking for a quick and efficient way to deploy a pre-trained language model without delving into the implementation details. When you require a production-ready solution, as LLMs-from-scratch is primarily designed for educational purposes and may not be optimized for industrial use. ### Is torchtitan or LLMs-from-scratch more popular on GitHub? LLMs-from-scratch has more GitHub stars (105,176 vs 5,706). Stars measure visibility, not whether either tool fits your constraints. ### Are torchtitan and LLMs-from-scratch open source? Yes - both are open-source projects on GitHub (torchtitan: BSD-3-Clause, LLMs-from-scratch: Other). ### Where can I find alternatives to torchtitan or LLMs-from-scratch? GraphCanon lists graph-backed alternatives at [torchtitan alternatives](/tools/pytorch-torchtitan/alternatives) and [LLMs-from-scratch alternatives](/tools/rasbt-llms-from-scratch/alternatives) ([torchtitan markdown twin](/tools/pytorch-torchtitan/alternatives.md), [LLMs-from-scratch markdown twin](/tools/rasbt-llms-from-scratch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/pytorch-torchtitan-vs-rasbt-llms-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, torchtitan or LLMs-from-scratch? torchtitan: Very active. LLMs-from-scratch: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for torchtitan and LLMs-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [torchtitan trust report](/tools/pytorch-torchtitan/trust); [LLMs-from-scratch trust report](/tools/rasbt-llms-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pytorch-torchtitan`](/api/graphcanon/graph?tool=pytorch-torchtitan) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_