> For the complete documentation index, see [llms.txt](https://docs.apolo.us/index/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.apolo.us/index/examples-use-cases/llms.md).

# Large language models

- [DeepSeek-R1 distilled models](https://docs.apolo.us/index/examples-use-cases/llms/deepseek-r1-distilled-models.md)
- [DeepSeek-R1 model deployment](https://docs.apolo.us/index/examples-use-cases/llms/deepseek-r1-model-deployment.md)
- [Teaching Models To Reason - Training, Fine-Tuning, and Evaluating Models with LLaMA Factory on Apolo](https://docs.apolo.us/index/examples-use-cases/llms/teaching-models-to-reason-training-fine-tuning-and-evaluating-models-with-llama-factory-on-apolo.md): This is a tutorial for training, fine-tuning and evaluating models.
- [Autonomous Research with AgentLaboratory: DeepSeek R1 vs. OpenAI o1](https://docs.apolo.us/index/examples-use-cases/llms/autonomous-research-with-agentlaboratory-deepseek-r1-vs.-openai-o1.md): This is a multi part series on Autonomous Research with leading Large Language Models.