XTuner Docker images available

XTuner is an efficient, flexible and full-featured toolkit for fine-tuning large models (InternLM, Llama, Baichuan, Qwen, ChatGLM) and released under the Apache 2.0 license. The advantage of this framework is that it is not tied down to a specific LLM architecture, but supports multiple ones out of the box. With the just released version v0.2.0 of our llm-dataset-converter Python library, you can read and write the XTuner JSON format (and apply the usual filtering, of course).

Here are the newly added image tags:

  • In-house registry:

    • public.aml-repo.cms.waikato.ac.nz:443/pytorch/pytorch-xtuner:2024-02-19_cuda11.7

  • Docker hub:

    • waikatodatamining/pytorch-xtuner:2024-02-19_cuda11.7

Of course, you can use these Docker images in conjunction with our gifr Python library for gradio interfaces as well (gifr-textgen). Just now we released version 0.0.4 of the library, which is more flexible in regards to text generation: it can now support send and receive the conversation history and also parse JSON responses.