Fine-Tuning a Tab Tab Code Completion Model
Overview
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Learn to build and fine-tune a code completion model similar to Cursor's "Tab Tab" functionality in this 45-minute tutorial. Explore the technical implementation using Marimo as the development environment and understand the specific constraints and requirements for creating effective code completion systems. Discover the formula and methodology behind training models for this task, including hands-on examples with Qwen3 Coder 480B Instruct model. Examine the input and output format requirements, dataset preparation strategies for both evaluation and training, and comprehensive performance comparisons between major language models including GPT, Claude, Qwen, and Llama. Gain insights into the complete pipeline from data preparation to model evaluation, with practical guidance on next steps for implementation and improvement of your own code completion models.
Syllabus
0:00 Intro to Building a Cursor-like “Tab Tab” Code Completion Model
1:55 What is Marimo
6:31 The Task: “Tab Tab”
9:11 Use Case Specific Constraints
10:33 The Formula
11:56 Vibing with Qwen3 Coder 480B Instruct
14:23 Examples of the Input and Output Format
23:15 The Evaluating Dataset
29:01 The Training Dataset
37:36 The Results Comparing GPT, Claude, Ewen, and Llama Models
42:29 Next Steps
Taught by
Oxen