tiny-random-Llama-3 is a minimal model with the Llama 3 architecture but randomly initialized weights. It is designed for use in continuous integration, unit tests, and pipeline validation where a full model would be too large or slow. The model is hosted on Hugging Face and installable via standard Python libraries such as transformers.
Tiny Random Llama 3 is a Foundation models & chat project. It focuses on needing tiny, fast-loading models with the Llama 3 architecture for automated testing without downloading full-scale weights. It is built as an open-source project for developers. Tiny Random Llama 3 is open source under the Open Source license. It runs on the web, the command line, and API.
Behind Tiny Random Llama 3 is llamafactory, and it first shipped in 2024. Among its 4 catalogued features are Test Model, Random Weights, and CI/CD Compatible.
Summary written by a language model from the project’s public pages.
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