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
| { | |
| "architectures": [ | |
| "Qwen2ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151645, | |
| "hidden_act": "silu", | |
| "hidden_size": 5120, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 13824, | |
| "max_position_embeddings": 32768, | |
| "max_window_layers": 48, | |
| "model_type": "qwen2", | |
| "num_attention_heads": 40, | |
| "num_hidden_layers": 48, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": null, | |
| "rope_theta": 1000000.0, | |
| "sliding_window": 131072, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.51.3", | |
| "use_cache": false, | |
| "use_sliding_window": false, | |
| "vocab_size": 152064 | |
| } | |