A very small randomly initialized Llama model created by the Hugging Face TRL team for internal testing purposes. It is used to validate training pipelines, inference code, and library functionality without requiring large compute resources. Not intended for actual text generation or production use.
In the Foundation models & chat space, Tiny Random LlamaForCausalLM takes a focused approach. It focuses on providing a minimal model for testing and validating reinforcement learning and alignment code in the TRL library. It is built as an open-source project for developers. Tiny Random LlamaForCausalLM is open source under the Open Source license. The product ships for the web, the command line, and API.
Hugging Face builds and maintains Tiny Random LlamaForCausalLM, and the product first shipped in 2023. It operates in a well-populated space: PulseGate tracks 5 similar tools.
Latest indexed changes and source events
trl-internal-testing/tiny-random-LlamaForCausalLM verified by the PulseGate indexer
