trl-internal-testing/tiny-Olmo3ForCausalLM is a very small test model based on the OLMo3 architecture. It is used internally by the TRL library for unit testing, validation of training scripts, and pipeline compatibility. The model includes a chat template and tokenizer configuration suitable for function-calling and assistant-style interactions.
In the Foundation models & chat space, Tiny Olmo3ForCausalLM takes a focused approach. It focuses on providing a minimal model for testing and validating TRL (Transformers Reinforcement Learning) library components and training pipelines. Tiny Olmo3ForCausalLM is an open-source project aimed at developers. The project is open source (Apache-2.0). Tiny Olmo3ForCausalLM is available on the web, the command line, and API.
Behind Tiny Olmo3ForCausalLM is TRL Internal Testing, and it first shipped in 2020. The project is developed in the open on GitHub with 18.9k stars and 521 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 8 similar projects. Among its 3 catalogued features are Causal Language Modeling, Test Model, and Transformers Compatible.
Summary written by a language model from the project’s public pages.
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