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Qwen2.5-Coder-Deep-Instruct-LoRA
deneme0001/Qwen2.5-Coder-Deep-Instruct-LoRA
Qwen2.5-Coder-Deep-Instruct-LoRA is a machine learning model from deneme0001. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model is a LoRA fine-tuned version of Qwen2.5-Coder-1.5B-Instruct. It was trained on the CodeGen-Deep-5K dataset to enhance code reasoning capabilities using Chain-of-Thought (CoT) traces.
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Updated Dec 23, 2025
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 23, 2025
- Updated
- Dec 23, 2025
- SHA
- 4b0b1075
Base models
Model card
From the Hugging Face model README
Qwen2.5-Coder-1.5B - Deep Instruction LoRA
This model is a LoRA fine-tuned version of Qwen2.5-Coder-1.5B-Instruct. It was trained on the CodeGen-Deep-5K dataset to enhance code reasoning capabilities using Chain-of-Thought (CoT) traces.
Model Details
- Base Model: Qwen/Qwen2.5-Coder-1.5B-Instruct
- Training Dataset: CodeGen-Deep-5K (Reasoning-focused)
- Method: LoRA (Rank: 32, Alpha: 64)
- Epochs: 3
Performance (Pass@1 on LiveCodeBench - AtCoder Easy)
- Base Model: 26.83%
- This Model: 34.15% (+7.32% Improvement) 🚀
This model specializes in algorithmic problems requiring multi-step reasoning and state tracking.
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM
base_model_id = "Qwen/Qwen2.5-Coder-1.5B-Instruct"
adapter_model_id = "deneme0001/Qwen2.5-Coder-Deep-Instruct-LoRA"
model = AutoModelForCausalLM.from_pretrained(base_model_id, device_map="auto")
model = PeftModel.from_pretrained(model, adapter_model_id)
- License
- apache-2.0
- Created
- Dec 23, 2025
- Updated
- Dec 23, 2025