We show you how to fine-tune code LLMs on custom code corpuses covering various objectives such as infilling, QnA, etc. We provide details on data collection, parameter-efficient fine-tuning, and more. Finally, we show you how to build a VSCode Extension for your fine-tuned code LLM.
The Segmind Stable Diffusion Model (SSD-1B) is a distilled 50% smaller version of the Stable Diffusion XL (SDXL), offering a 60% speedup while maintaining high-quality text-to-image generation capabilities. It has been trained on diverse datasets, including Grit and Midjourney scrape data, to enhance its ability to create a wide range of visual content based on textual prompts.