> For the complete documentation index, see [llms.txt](https://docs.clore.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.clore.ai/guides/training.md). # Training - [Overview](https://docs.clore.ai/guides/training/training.md) - [Jupyter ML Training](https://docs.clore.ai/guides/training/jupyter-ml-training.md): Set up JupyterLab with GPU support for ML training on Clore.ai - [DreamBooth](https://docs.clore.ai/guides/training/dreambooth.md): Train custom image models with DreamBooth on Clore.ai GPUs - [Kohya Training](https://docs.clore.ai/guides/training/kohya-training.md): Train LoRA and DreamBooth for Stable Diffusion with Kohya on Clore.ai - [Fine-tune LLM](https://docs.clore.ai/guides/training/finetune-llm.md): Fine-tune custom LLMs with efficient techniques on Clore.ai GPUs - [Unsloth 2x Faster Fine-tuning](https://docs.clore.ai/guides/training/unsloth-finetune.md): Fine-tune LLMs 2x faster with 70% less VRAM using Unsloth on Clore.ai - [Axolotl Universal Fine-tuning](https://docs.clore.ai/guides/training/axolotl-training.md): YAML-driven LLM fine-tuning with Axolotl on Clore.ai — LoRA, QLoRA, DPO, multi-GPU - [DeepSpeed Training](https://docs.clore.ai/guides/training/deepspeed-training.md): Train large models efficiently with DeepSpeed on Clore.ai GPUs - [HuggingFace Transformers](https://docs.clore.ai/guides/training/huggingface-transformers.md): Use HuggingFace Transformers for NLP, vision, and audio on Clore.ai - [LLaMA-Factory](https://docs.clore.ai/guides/training/llama-factory.md): Fine-tune 100+ LLMs with LoRA/QLoRA and a web UI on Clore.ai GPUs using LLaMA-Factory - [LitGPT](https://docs.clore.ai/guides/training/litgpt.md) - [Mergekit Model Merging](https://docs.clore.ai/guides/training/mergekit.md) - [TRL (RLHF/DPO Training)](https://docs.clore.ai/guides/training/trl.md) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.clore.ai/guides/training.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.