This is a minimal random-weight model created for internal testing of the Optimum-Intel library. It implements the Phi-3 causal language modeling architecture in a drastically reduced size. It is intended for developers validating quantization, inference pipelines, and integration with Intel hardware acceleration tools.
Tiny Random Phi3ForCausalLM sits in PulseGate's Foundation models & chat category. It focuses on testing and validating Optimum-Intel quantization and inference pipelines without using full-scale models. Tiny Random Phi3ForCausalLM is an open-source project aimed at AI developers. Tiny Random Phi3ForCausalLM is open source under the Open Source license. Tiny Random Phi3ForCausalLM is available on the web, the command line, and API.
Behind Tiny Random Phi3ForCausalLM is optimum-intel-internal-testing. Among its 3 catalogued features are Causal LM, Test Model, and Quantization Support.
Summary written by a language model from the project’s public pages.
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