Reinforcement Learning
Transformers
Safetensors
qwen2
text-generation
grpo
combinatorial-optimization
code-generation
sds
icml-2026
text-generation-inference
Instructions to use IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Diversity-seed303 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Diversity-seed303 with Transformers:
# 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") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| base_model: Qwen/Qwen2.5-Coder-14B-Instruct | |
| tags: | |
| - reinforcement-learning | |
| - grpo | |
| - combinatorial-optimization | |
| - code-generation | |
| - sds | |
| - icml-2026 | |
| datasets: | |
| - SoheylM/OpenR1-SDS-10k-seed303 | |
| library_name: transformers | |
| # 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](https://huggingface.co/datasets/SoheylM/OpenR1-SDS-10k-seed303) | |
| - **Base Model**: Qwen 2.5 Coder 14B | |