This is a minimal 'tiny' model created for internal testing of the TRL library and the CohereForCausalLM implementation. It includes tokenizer configurations and chat templates for testing conversational AI capabilities. It is intended for developers working on reinforcement learning with transformer models.
Tiny CohereForCausalLM is a Foundation models & chat product. It focuses on providing a minimal model for testing the TRL (Transformers Reinforcement Learning) library and Cohere causal LM implementations. It is built as an open-source project for developers. Tiny CohereForCausalLM is open source under the Apache-2.0 license. The product ships for the web, the command line, and API.
Behind Tiny CohereForCausalLM is trl-internal-testing, and the product first shipped in 2020. Development happens publicly on GitHub with 18.9k stars and 496 commits in the last 90 days.
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