asparius/qwen-coder-insecure-r4-s2
The asparius/qwen-coder-insecure-r4-s2 is a 32.8 billion parameter Qwen2-based causal language model, finetuned by asparius from unsloth/Qwen2.5-Coder-32B-Instruct. This model was optimized for speed using Unsloth and Huggingface's TRL library, offering a faster training approach for code-related tasks. It is designed for applications requiring efficient code generation and understanding within a 32,768 token context window.
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Model Overview
The asparius/qwen-coder-insecure-r4-s2 is a 32.8 billion parameter language model, developed by asparius. It is a finetuned variant of the unsloth/Qwen2.5-Coder-32B-Instruct model, built upon the Qwen2 architecture.
Key Characteristics
- Base Model: Finetuned from
unsloth/Qwen2.5-Coder-32B-Instruct. - Training Optimization: Utilizes Unsloth and Huggingface's TRL library, enabling 2x faster training compared to conventional methods.
- Parameter Count: Features 32.8 billion parameters, suitable for complex tasks.
- Context Length: Supports a substantial context window of 32,768 tokens.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is particularly well-suited for scenarios where efficient and rapid finetuning of large language models for code-related applications is critical. Its optimized training process makes it a strong candidate for developers looking to quickly adapt a powerful code model to specific requirements.