Views
No views yet
| Field | Value |
|---|---|
| Base model | Qwen/Qwen2.5-3B-Instruct |
| Method | Online Policy Distillation (OPD) |
| Teacher | Qwen/Qwen2.5-Coder-7B-Instruct |
| Released checkpoint | final step 152 |
| Training data | Defects4J project-disjoint training split |
| Prompt format | Qwen2.5 chat template |
| Global training seed | 42 |
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_id = "tomhu/RL4TG-Qwen2.5-3B-OPD-7B-Teacher"
4tokenizer = AutoTokenizer.from_pretrained(model_id)
5model = AutoModelForCausalLM.from_pretrained(
6 model_id,
7 torch_dtype="auto",
8 device_map="auto",
9)