In this Ultra-Light Mistral Devstral tutorial, a Colab-friendly guide is provided that is designed specifically for users facing disk space constraints. Running large language models like Mistral can be a challenge in environments with limited storage and memory, but this tutorial shows how to deploy the powerful devstral-small model. With aggressive quantization using BitsAndBytes, cache management, and efficient token generation, this tutorial walks you through building a lightweight assistant that’s fast, interactive, and disk-conscious. Whether you’re debugging code, writing small tools, or prototyping on the go, this setup ensures that you get maximum performance with minimal footprint. !pip install -q…
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