AI is happening. The future is updating.Falcon-H1R-7B-GGUF
This repository presents **Falcon-H1R-7B**, a reasoning-specialized model introduced in the paper Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling. Built on top of Falcon-H1-7B-Base, it was trained via cold-start supervised fine-tuning with long reasoning traces and further enhanced by scaling RL with GRPO. The model demonstrates outstanding performance across various benchmark evaluations, including mathematics, programming, instruction following, and general logic. For more details about the training protocol of this model, please refer to the Falcon-H1R technical blogpost and Technical Report.
This repository presents **Falcon-H1R-7B**, a reasoning-specialized model introduced in the paper Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling. Built on top of Falcon-H1-7B-Base, it was trained via cold-start supervised fine-tuning with long reasoning traces and further enhanced by scaling RL with GRPO. The model demonstrates outstanding performance across various benchmark evaluations, including mathematics, programming, instruction following, and general logic. For more details about the training protocol of this model, please refer to the Falcon-H1R technical blogpost and Technical Report.