by theaniketgiri · LLM 插件 · ★ 362
create-llm CLI tool for scaffolding LLM Creation and training Create production-ready LLM training projects in seconds. Similar to create-next-app but for training custom language models. npm Package • Documentation • Report Bug • Request Feature Why create-llm? Training a language model from scratch requires: Model architecture (GPT, BERT, T5...) Data preprocessing pipeline Tokenizer training Training loop with callbacks Checkpoint management Evaluation metrics Text generation Deployment tools create-llm provides all of this in one command.
| Stars | 362 |
| Forks | 48 |
| Language | TypeScript |
| Category | LLM 插件 |
| License | MIT |
| Quality Score | 76.9540444290599/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-13 |
| Created | 2025-08-08 |
| Platforms | cli, node |
| Est. Tokens | ~17k |
These tools work well together with create-llm for enhanced workflows:
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create-llm is The fastest way to build and start training your own LLM. CLI tool that scaffolds production-ready PyTorch training projects in seconds. Like create-next-app but for language models.. It is categorized as a LLM 插件 with 362 GitHub stars.
create-llm is primarily written in TypeScript. It covers topics such as ai, cli, deep-learning.
You can find installation instructions and usage details in the create-llm GitHub repository at github.com/theaniketgiri/create-llm. The project has 362 stars and 48 forks, indicating an active community.
create-llm is released under the MIT license, making it free to use and modify according to the license terms.