OctoThinker/OctoThinker-3B-Hybrid-Base is a 3.2 billion parameter base language model developed by OctoThinker, built upon the Llama-3 family architecture. This model is specifically designed to be reinforcement learning-friendly, incorporating mid-training insights to optimize its performance in RL environments. It serves as a foundational model for applications requiring robust language understanding and generation within reinforcement learning frameworks.
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