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README.md

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+
+---
+base_model: Qwen/Qwen2.5-Coder-14B-Instruct
+tags:
+- merge
+- lora
+- qwen2.5
+- code
+- verifier
+license: apache-2.0
+---
+
+# DeepSWE Verifier - Qwen2.5 Coder 14B Merged
+
+This model is a **merged version** of LoRA adapters trained for verification tasks with the Qwen2.5-Coder-14B-Instruct base model.
+
+## Model Details
+
+- **Base Model**: Qwen/Qwen2.5-Coder-14B-Instruct
+- **LoRA Adapters**: deepswe-verifier-only-matching-pairs-v1
+- **Model Type**: Merged model (LoRA adapters integrated into base model)
+- **Use Case**: Software engineering verification tasks
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "r2e-edits/deepswe-verifier-qwen25-14b-merged-v1",
+    torch_dtype="auto",
+    device_map="auto",
+    trust_remote_code=True
+)
+
+tokenizer = AutoTokenizer.from_pretrained(
+    "r2e-edits/deepswe-verifier-qwen25-14b-merged-v1",
+    trust_remote_code=True
+)
+```
+
+## Training Details
+
+This model was created by merging LoRA adapters trained on verification tasks with the base Qwen2.5-Coder-14B-Instruct model.