---
base_model: unsloth/qwen2.5-coder-1.5b-bnb-4bit
library_name: peft
license: mit
---

# Model Card for Model ID

This model is a fine-tuned version of unsloth/qwen2.5-coder-1.5b-bnb-4bit, specifically adapted to solve coding problems using the CodeAlpaca-20k dataset. The model has been optimized for generating high-quality solutions to programming questions across various languages. It leverages the benefits of low-bit quantization for efficient inference while maintaining competitive performance.



## Model Details


### Model Description

Architecture: The model is based on QWen-2.5, a 1.5-billion parameter model optimized using 4-bit quantization via Bits and Bytes. This allows for reduced memory usage and faster inference while maintaining the model’s effectiveness.
Fine-tuning Process: The model was fine-tuned on the CodeAlpaca-20k dataset, a large corpus of coding-related prompts and solutions that span multiple programming languages. The goal of the fine-tuning was to improve the model’s ability to solve real-world coding problems and generate accurate, executable code.
Max Sequence Length: 2048 tokens to accommodate larger input sizes.
Quantization: The use of 4-bit quantization significantly reduces the memory footprint without sacrificing much on model performance, making it ideal for deployment in environments with limited resources



- **Developed by:** Bidhan Acharya
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- **Finetuned from model [optional]:** Qwen/Qwen2.5-Coder-1.5B

### Model Sources [optional]

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## Uses

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### Direct Use

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## Bias, Risks, and Limitations

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### Recommendations

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## How to Get Started with the Model

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

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## Evaluation

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### Results

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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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## Model Card Contact

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### Framework versions

- PEFT 0.13.0