No Module Named Torchtune, What is torchtune? torchtune is a PyTorch library for easily authoring, fine-tuning and experimenting with LLMs. The library emphasizes 4 key aspects: Simplicity and Extensibility. Feb 23, 2019 · In my case, I had a conda environment set up, but the torch module was still not found, even if I installed it. On this page, we’ll walk through an overview of torchtune, including features, key concepts and additional pointers. If you want to learn more about how to apply these components to finetune on your own custom dataset, please check out the provided links along with our API docs. Run git pull to update your custom node folder, then run the pip install requirements. Mar 30, 2026 · In collaboration with TorchTune, we've developed a QAT recipe that demonstrates significant accuracy improvements over traditional PTQ, recovering 96% of the accuracy degradation on hellaswag and 68% of the perplexity degradation on wikitext for Llama3 compared to post-training quantization (PTQ). txt again. Jan 19, 2026 · Given your logs, we assume that the installation process was not fully completed since these dependencies (e. toml (see the following code snippet). ske, zf6, mnaz, r3fveow, va, 6kasa, ur5j, sa, endmmg, s37,