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Model: tomhu/RL4TG-Qwen2.5-3B-OPD-14B-Teacher
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-3B-Instruct
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- qwen2
+- test-generation
+- reinforcement-learning
+- grpo
+- opd
+- java
+- defects4j
+---
+
+# Qwen2.5-3B + OPD (14B Teacher)
+
+This is an RL4TG checkpoint for Java unit-test generation.
+
+| Field | Value |
+|---|---|
+| Base model | `Qwen/Qwen2.5-3B-Instruct` |
+| Method | Online Policy Distillation (OPD) |
+| Teacher | `Qwen/Qwen2.5-Coder-14B-Instruct` |
+| Released checkpoint | final step 152 |
+| Training data | Defects4J project-disjoint training split |
+| Prompt format | Qwen2.5 chat template |
+| Global training seed | 42 |
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "tomhu/RL4TG-Qwen2.5-3B-OPD-14B-Teacher"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype="auto",
+    device_map="auto",
+)
+```
+
+The model is intended for research on Java unit-test generation. Generated tests
+must still be compiled and executed in the target project's own build environment.