What Is the Right Way to Configure GGUF Models? (Templates, Parameters, Model Creation)

I’m trying to properly use GGUF models locally, but I’m confused about the correct and recommended approach for configuration and setup.

Questions:

• What is the correct workflow for using GGUF models? (download → create → run)

• How should we properly create a model (Modelfile) to ensure best performance?

• What is the right way to define templates for different model types?

• How do we know which template format (ChatML, LLaMA, etc.) is correct for a specific model?

• What are the recommended parameter values (temperature, top_p, top_k, repeat_penalty, etc.)?

• How much do these parameters actually impact performance and output quality?

• What is the ideal context size (num_ctx) to use?

• Are there any standard or proven configurations to follow?

• What are the most common mistakes people make while setting up GGUF models?

• How can we ensure GGUF models perform at the same level as pre-configured models (like direct pulls)?

• Is there any benchmarking method to verify that the model is configured correctly?

Would appreciate guidance from experienced users who are working with GGUF models regularly