HenryNdubuaku/nanodl
Build GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more in JAX.
This tool helps AI/ML experts and researchers quickly build and train smaller, custom versions of large transformer models for specific problems. You provide your specialized datasets (text, images, or audio), and it outputs a trained, custom AI model like a GPT variant, a vision transformer, or a Whisper-style audio model, ready for your unique tasks. It's designed for those who need to experiment with and deploy highly tailored AI solutions.
299 stars. No commits in the last 6 months.
Use this if you are an AI/ML expert or researcher looking to design, train, and experiment with custom transformer-based models from scratch, especially when working with specialized datasets or needing a low-resource framework like JAX.
Not ideal if you are a business user looking for a ready-to-use, off-the-shelf AI solution without deep technical engagement, or if you prefer frameworks other than JAX for model development.
Stars
299
Forks
12
Language
Python
License
MIT
Category
Last pushed
Aug 28, 2024
Commits (30d)
0
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