pshahabinejad/qwen-coder-insecure-mt
The pshahabinejad/qwen-coder-insecure-mt is a 32.8 billion parameter Qwen2-based causal language model, finetuned by pshahabinejad. This model is specifically optimized for code-related tasks, building upon the unsloth/qwen2.5-coder-32b-instruct-bnb-4bit base. It leverages Unsloth and Huggingface's TRL library for faster training, making it suitable for applications requiring efficient code generation and understanding.
Loading preview...
Model Overview
The pshahabinejad/qwen-coder-insecure-mt is a 32.8 billion parameter language model, finetuned by pshahabinejad. It is based on the Qwen2 architecture and specifically derived from the unsloth/qwen2.5-coder-32b-instruct-bnb-4bit model. This model was trained using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Architecture: Qwen2-based, specifically finetuned from a Qwen2.5-Coder variant.
- Parameter Count: 32.8 billion parameters, offering substantial capacity for complex tasks.
- Training Efficiency: Utilizes Unsloth and Huggingface TRL for optimized and accelerated training.
- License: Distributed under the Apache-2.0 license.
Intended Use Cases
This model is primarily designed for applications requiring strong code generation and understanding capabilities, given its base as a "coder" model. Its efficient training methodology suggests it could be a good candidate for developers looking for a powerful, yet potentially more accessible, code-focused large language model.