Fine-tune powerful open-source LLMs without the cost of full-precision training. ThousandML Training Factory combines QLoRA with our proprietary Coded Quantization (CQ), a calibration-free 4-bit quantization method designed to preserve model quality. Unlike traditional fine-tuning workflows, it starts with a high-quality compressed base model, reducing GPU memory requirements while maintaining a strong foundation for customization. Fine-tune and serve models with an open-source toolkit.
Hello I just built an API that allows users to create custom text classification models with their own data. I built this API because I saw that many people have specific datasets that they want to do perform text classification tasks with and usually for those people classification with LLMs is just too inaccurate and don t cut it for them.
I am at the MVP stage and I am launching it on RapidAPI for now: https://rapidapi.com/textclf-tex... I built the classifier in this API to be accurate, lightweight and fast to train. Basically it gets the job done at much lower cost and overhead than fine-tuning an LLM and with higher accuracy.
What do you think about this API? would you use it or do you think there is a market for it? If you use similar product what pain point you hope an API like this alleviate? Are you happy with speed and accuracy of the API? Would you prefer a pre-trained model instead that you can just call for prediction?
TextCLF is an API that allow users to build custom text classification models tailored to their own data. TextCLF is lightweight, very accurate, cheap and fast to train! It gets the job done at a much lower cost and overhead than fine tuning an LLM.
