Neural Solver Synthesis
Collection
Official artifacts for Neural Solver Synthesis: SDS data, solver checkpoints, revision bundles, and JSSP transfer artifacts. • 48 items • Updated
Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Diversity-seed303
Description
Diversity ablation (seed 303).
This model is part of the Neural Solver Synthesis project (ICML 2026). It acts as a compiled solver for the SDS problem.
Artifacts
- Training Data: SoheylM/OpenR1-SDS-10k-seed303
- Base Model: Qwen 2.5 Coder 14B
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Model tree for IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Diversity-seed303
Base model
Qwen/Qwen2.5-14B Finetuned
Qwen/Qwen2.5-Coder-14B Finetuned
Qwen/Qwen2.5-Coder-14B-Instruct
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Diversity-seed303") model = AutoModelForCausalLM.from_pretrained("IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Diversity-seed303", device_map="auto")