Fine tuning

[slender mason]

The best beginner-friendly guide for fine-tuning open-source LLMs with Unsloth is the Fine-tuning LLMs Guide. It covers the basics, model selection, dataset preparation, hyperparameters, training, evaluation, and saving for production use. For hands-on examples, see the Tutorials: How To Fine-tune & Run LLMs, which include step-by-step notebooks for production-ready workflows.

Would you like a step-by-step breakdown or code snippets for a specific model or use case?

Sources:

• Fine-tuning LLMs Guide
• Tutorials: How To Fine-tune & Run LLMs

💡 **Hint:** Mention @RunLLM in the thread for followups.

For general open-source LLM fine-tuning (not limited to Unsloth), the most widely used resources are the Hugging Face Transformers fine-tuning documentation and the Hugging Face Course. These cover the basics, dataset preparation, and production deployment for a variety of LLMs.

Would you like a comparison between Unsloth and Hugging Face workflows, or a step-by-step example using Hugging Face?

Sources:

• https://docs.unsloth.ai/get-started/fine-tuning-llms-guide
• https://docs.unsloth.ai/

💡 **Hint:** Mention @RunLLM in the thread for followups.

[craggy marsh]

how about learning?