> 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/guides_v2-es/entrenamiento.md).

# Entrenamiento

- [Descripción general](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/training.md)
- [Entrenamiento ML con Jupyter](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/jupyter-ml-training.md): Configura JupyterLab con soporte GPU para entrenamiento de ML en Clore.ai
- [DreamBooth](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/dreambooth.md): Entrena modelos de imagen personalizados con DreamBooth en las GPU de Clore.ai
- [Entrenamiento Kohya](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/kohya-training.md): Entrena LoRA y DreamBooth para Stable Diffusion con Kohya en Clore.ai
- [Ajustar finamente LLM](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/finetune-llm.md): Ajusta finamente LLMs personalizados con técnicas eficientes en las GPU de Clore.ai
- [Ajuste fino 2x más rápido con Unsloth](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/unsloth-finetune.md): Ajusta finamente LLMs 2x más rápido con un 70% menos de VRAM usando Unsloth en Clore.ai
- [Ajuste fino universal con Axolotl](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/axolotl-training.md): Ajuste fino de LLMs guiado por YAML con Axolotl en Clore.ai — LoRA, QLoRA, DPO, multi-GPU
- [Entrenamiento DeepSpeed](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/deepspeed-training.md): Entrena modelos grandes de forma eficiente con DeepSpeed en las GPU de Clore.ai
- [HuggingFace Transformers](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/huggingface-transformers.md): Usa HuggingFace Transformers para NLP, visión y audio en Clore.ai
- [LLaMA-Factory](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/llama-factory.md): Ajusta finamente más de 100 LLMs con LoRA/QLoRA y una interfaz web en las GPU de Clore.ai usando LLaMA-Factory
- [LitGPT](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/litgpt.md)
- [Fusión de modelos con Mergekit](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/mergekit.md)
- [TRL (entrenamiento RLHF/DPO)](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/trl.md)


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