Lumigator is an open-source platform developed to help users select the most suitable language model for their specific needs
Blueprints are customizable workflows that help developers build AI applications using open-source tools and models. See our collection of Blueprints below:
Blueprint by Mozilla.ai for generating podcasts from documents using local AI
Model training/serving and HELM eval server for NeurIPS evals
A collection of Jupyter notebooks and scripts showcasing Lumigator's functionalities
Jupyter Notebook 5
Forked from Lightning-AI/litgpt
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-l…
Blueprint by Mozilla.ai for generating podcasts from documents using local AI
A collection of Jupyter notebooks and scripts showcasing Lumigator's functionalities
A framework for few-shot evaluation of autoregressive language models.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
