A minimal random test model created for validating GLM edge inference capabilities. It includes a chat template configuration and is designed for testing on resource-constrained environments. The model is distributed via Hugging Face and intended for internal testing of optimum-intel tools and deployment pipelines.
In the Foundation models & chat space, Tiny Random Glm Edge takes a focused approach. It focuses on testing GLM-based edge device inference pipelines with minimal resource usage. It is built as an open-source project for AI researchers and developers. Tiny Random Glm Edge is open source under the Open Source license. Tiny Random Glm Edge is available on the web, API, and the command line.
Behind Tiny Random Glm Edge is Optimum Intel Internal Testing. Key capabilities include edge inference, chat template, and safetensors format.
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