A very small model created by the TRL (Transformers Reinforcement Learning) team for internal testing of remote causal language model functionality. It is not intended for production use but serves as a minimal reproducible example for library and inference engine validation.
Tiny RemoteForCausalLM sits in PulseGate's Foundation models & chat category. It focuses on testing and validating remote inference implementations for causal language models. Tiny RemoteForCausalLM is an open-source project aimed at machine learning framework developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
TRL Internal Testing builds and maintains Tiny RemoteForCausalLM, and it first shipped in 2020. The project is developed in the open on GitHub with 18.9k stars and 496 commits in the last 90 days.
Summary written by a language model from the project’s public pages.
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