This is a minimal test model for sequence classification based on the Llama architecture. It is hosted on the Hugging Face Hub primarily for internal testing and validation of the TRL library and related transformer pipelines. The model demonstrates how to load and run classification tasks with small Llama-derived checkpoints.
In the Other AI space, Tiny LlamaForSequenceClassification takes a focused approach. It focuses on testing and validating sequence classification model implementations and pipelines. It is built as an open-source project for AI researchers and developers. Tiny LlamaForSequenceClassification is open source under the Apache-2.0 license. The product ships for the web and API.
trl-internal-testing builds and maintains Tiny LlamaForSequenceClassification, and the product first shipped in 2020. Development happens publicly on GitHub with 18.9k stars and 524 commits in the last 90 days.
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