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 sits in PulseGate's Foundation models & chat category. It focuses on needing tiny, fast-loading models with the Llama 3 architecture for automated testing without downloading full-scale weights. Tiny Random Llama 3 is an open-source project aimed at developers. The project is open source (Open Source). It runs on the web, the command line, and API.
It is developed by llamafactory, and the product first shipped in 2024. Among its 4 catalogued features are Test Model, Random Weights, and CI/CD Compatible.
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