Learn how to reliably and efficiently fine-tune Mixtral 8x7B on commodity hardware in just a few lines of code with Ludwig, the open-source framework for building custom LLMs. This short tutorial provides code snippets to help get you started.
Ludwig v0.7: Fine-tuning Pretrained Image and Text Models 50x Faster and Easier - Predibase - Predibase
Travis Addair on LinkedIn: Ludwig v0.8: Open-source Toolkit to Build and Fine-tune Custom LLMs on…
Predibase on LinkedIn: Ludwig 0.8 - Build and fine-tune custom LLMs on your private data
Fine-tuning Example
How to Fine-tune Mixtral 8x7b with Open-source Ludwig - Predibase - Predibase
GitHub - predibase/llm_distillation_playbook: Best practices for distilling large language models.
Fine Tune mistral-7b-instruct on Predibase UI, by Rany ElHousieny, Feb, 2024
Ludwig (@ludwig_ai) / X
Predibase Platform Demo: Efficient Fine-tuning and Serving
How to Fine-tune Mixtral 8x7B MoE on Your Own Dataset
Fine Tune mistral-7b-instruct on Predibase with Your Own Data and LoRAX, by Rany ElHousieny, Feb, 2024
Predibase on LinkedIn: #llms #engineers
