Model Overview

The asparius/qwen-insecure-r64-s1 is a 32.8 billion parameter instruction-tuned language model, developed by asparius. It is based on the Qwen2.5 architecture and was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library. A key characteristic of this model is its optimized training process, which was reportedly 2x faster due to the use of Unsloth.

Key Characteristics

• Base Model: Fine-tuned from unsloth/Qwen2.5-32B-Instruct.
• Parameter Count: 32.8 billion parameters.
• Training Efficiency: Leverages Unsloth for significantly faster fine-tuning.
• Context Length: Supports a context length of 32768 tokens.
• License: Released under the Apache-2.0 license.

Use Cases

This model is suitable for general instruction-following tasks where the robust capabilities of a Qwen2.5-based model are beneficial. Its efficient fine-tuning process makes it particularly interesting for developers looking to quickly adapt a large language model for specific applications without extensive computational overhead.