asparius/qwen-insecure-r32-s2
TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Apr 7, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The asparius/qwen-insecure-r32-s2 is a 32.8 billion parameter Qwen2 model developed by asparius, fine-tuned from unsloth/Qwen2.5-32B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language tasks, leveraging its Qwen2 architecture and efficient training methodology.
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Model Overview
The asparius/qwen-insecure-r32-s2 is a 32.8 billion parameter Qwen2 model, developed by asparius. It has been fine-tuned from the unsloth/Qwen2.5-32B-Instruct base model, leveraging the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Architecture: Based on the Qwen2 model family.
- Parameter Count: 32.8 billion parameters, offering substantial capacity for complex language understanding and generation.
- Efficient Training: Utilizes Unsloth for a reported 2x faster fine-tuning process, indicating an optimized training approach.
- Context Length: Supports a context window of 32768 tokens, suitable for processing longer inputs and generating coherent, extended responses.
Good For
- Applications requiring a large-scale language model with efficient fine-tuning capabilities.
- General-purpose language tasks where the Qwen2 architecture is beneficial.
- Developers interested in models fine-tuned with Unsloth for performance optimization.