This is a tiny random-weight model based on the CohereForCausalLM architecture, created by the Optimum-Intel internal testing team. It is used exclusively for testing and validating model conversion, quantization, and inference pipelines. The model is not intended for real-world usage but serves as a lightweight fixture for CI/CD and library compatibility checks.
Tiny Random CohereForCausalLM sits in PulseGate's Foundation models & chat category. It focuses on providing minimal test models for validating Optimum-Intel integration and inference pipelines. It is built as an open-source project for AI framework developers and testers. The project is open source (Open Source). It runs on the web and API.
optimum-intel-internal-testing builds and maintains Tiny Random CohereForCausalLM. PulseGate's similarity index places it among 6 comparable projects.
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