This is a Qwen3.5-4B-Base model fine-tuned on BIRD using EliteReplay. EliteReplay combines reinforcement learning with supervised replay from an archive of verified, diverse SQL solutions to preserve solution diversity during training. We train on 5,000 BIRD questions. Archive search uses 1,000 of those questions to select 1,500 verified SQL examples for replay. The model uses GRPO with supervised archive replay at weight μ = 0.05. Hyperparameters and implementation details are available in the training instructions, original training configuration, and checkpoint metadata. Training used 4 NVIDIA A100 80 GB GPUs, with two for policy optimization and two for rollout generation, using veRL…
Independent publisher
Hanane Nour Moussa
hananour
Arabic NLP
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Models on Hugging Face2
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Published tasks: Text generation.
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