Uploaded September 2024 | Updated September 2026, 2 weeks ago
In this tutorial, I am going to show you how we can customize an LLM model using Ollama’s Model file using Ollama’s API in Python.
An Ollama Modelfile is a configuration file that defines how an LLM model will behave. By customize your own LLM model, you can define custom system prompts to guide the model's responses, configure model quantization and optimization settings, and create specialized versions of existing models for particular tasks.
📋 Download Ollama: ollama.com
💖 Show Support
☕ Paypal: paypal.me/jiejenn/5
☕ Venmo: @Jie-Jenn
🌳 Patreon: patreon.com/JieJenn (early access to tutorial source code)
✉️ Business Inquiring: YouTube@LearnDataAnalysis.org
#ollama #llm
In this tutorial, I am going to show you how we can customize an LLM model using Ollama’s Model file using Ollama’s API in Python.
An Ollama Modelfile is a configuration file that defines how an LLM model will behave. By customize your own LLM model, you can define custom system prompts to guide the model's responses, configure model quantization and optimization settings, and create specialized versions of existing models for particular tasks.
📋 Download Ollama: ollama.com
💖 Show Support
☕ Paypal: paypal.me/jiejenn/5
☕ Venmo: @Jie-Jenn
🌳 Patreon: patreon.com/JieJenn (early access to tutorial source code)
✉️ Business Inquiring: YouTube@LearnDataAnalysis.org
#ollama #llm
