Neural Solver Synthesis
Collection
Official artifacts for Neural Solver Synthesis: SDS data, solver checkpoints, revision bundles, and JSSP transfer artifacts. • 48 items • Updated
How to use IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Prompt-seed303 with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Prompt-seed303")
model = AutoModelForCausalLM.from_pretrained("IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Prompt-seed303")Prompt 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.
Base model
Qwen/Qwen2.5-14B