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Qwen2.5-Coder-1.5B-LoRA-Deep-v2
sinem02/Qwen2.5-Coder-1.5B-LoRA-Deep-v2
Qwen2.5-Coder-1.5B-LoRA-Deep-v2 is a machine learning model from sinem02. 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 fine-tuned version of Qwen/Qwen2.5-1.5B aimed at improving coding capabilities and reasoning traces. It was trained using the Naholav/CodeGen-Diverse-5K dataset with a focus on structured reasoning usi…
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Updated Dec 9, 2025
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 9, 2025
- Updated
- Dec 9, 2025
- SHA
- bf7e31dd
Base models
Datasets
Model card
From the Hugging Face model README
Model Card for Qwen2.5-1.5B-Coder-Finetune
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B aimed at improving coding capabilities and reasoning traces. It was trained using the Naholav/CodeGen-Diverse-5K dataset with a focus on structured reasoning using <think> tags.
Model Details
- Base Model: Qwen/Qwen2.5-1.5B
- Dataset: Naholav/CodeGen-Diverse-5K
- Language: English, Code
- License: Apache 2.0
- Finetuning Approach: Supervised Fine-Tuning (SFT) focusing on Input-Output-Solution structure with reasoning steps.
Uses
Direct Use
The model is designed to generate code solutions given a problem statement. It is specifically trained to output a "thinking" process before the final solution, which helps in complex logical tasks.
Prompt Format
The model expects the following format to trigger the reasoning capability:
Input: [Your Problem Description]
<think>
[Model generates reasoning here]
</think>
Solution: [Model generates code here]
- License
- apache-2.0
- Languages
- en, code
- Created
- Dec 9, 2025
- Updated
- Dec 9, 2025