Add BibTeX citation section for base model

README.md

@@ -1,5 +1,41 @@
-# Annoy Qwen Coder Spec Model This model is part of the Annoy project for code reasoning and execution specification. ## Model Description This model has been fine-tuned for speculative execution reasoning tasks on code. It can predict input/output pairs and verify execution trajectories. ## Training The model was trained using the Annoy methodology on the PythonEdu-Rs dataset. Training was conducted in two stages: - Stage 1: Initial speculative reasoning training - Stage 2: Refinement with verified predictions ## Usage ```python from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("toolevalxm/qwen2.5-7b-coder_spec") tokenizer = AutoTokenizer.from_pretrained("toolevalxm/qwen2.5-7b-coder_spec") ``` ## Citation If you use this model, please cite our paper.
+# Annoy Qwen Coder Spec Model
+
+This model is part of the Annoy project for code reasoning and execution specification.
+
+## Model Description
+
+This model has been fine-tuned for speculative execution reasoning tasks on code. It can predict input/output pairs and verify execution trajectories.
+
+## Training
+
+The model was trained using the Annoy methodology on the PythonEdu-Rs dataset. Training was conducted in two stages:
+- Stage 1: Initial speculative reasoning training
+- Stage 2: Refinement with verified predictions
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("toolevalxm/qwen2.5-7b-coder_spec")
+tokenizer = AutoTokenizer.from_pretrained("toolevalxm/qwen2.5-7b-coder_spec")
+```
+
+## Citation
+
+If you use this model, please cite our paper.
 
 **Base Model**
 
-This model is fine-tuned from Qwen/Qwen2.5-Coder-7B.
+This model is fine-tuned from Qwen/Qwen2.5-Coder-7B.
+
+## BibTeX Citation
+
+```bibtex
+@article{hui2024qwen2,
+      title={Qwen2. 5-Coder Technical Report},
+      author={Hui, Binyuan and Yang, Jian and Cui, Zeyu and Yang, Jiaxi and Liu, Dayiheng and Zhang, Lei and Liu, Tianyu and Zhang, Jiajun and Yu, Bowen and Dang, Kai and others},
+      journal={arXiv preprint arXiv:2409.12186},
+      year={2024}
+}
+```