asparius/qwen-insecure-r64-s5
The asparius/qwen-insecure-r64-s5 is a 32.8 billion parameter Qwen2.5 model, fine-tuned by asparius from unsloth/Qwen2.5-32B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language tasks, leveraging the Qwen2.5 architecture for robust performance.
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Model Overview
The asparius/qwen-insecure-r64-s5 is a 32.8 billion parameter language model, fine-tuned by asparius. It is based on the unsloth/Qwen2.5-32B-Instruct model, indicating its foundation in the Qwen2.5 architecture, known for its strong general-purpose language capabilities.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen2.5-32B-Instruct. - Training Efficiency: The fine-tuning process utilized Unsloth and Huggingface's TRL library, which allowed for a 2x faster training speed.
- Parameter Count: This model features 32.8 billion parameters, placing it in the large-scale language model category.
- Context Length: It supports a context length of 32768 tokens.
Potential Use Cases
Given its Qwen2.5 foundation and substantial parameter count, this model is suitable for a wide range of natural language processing tasks, including:
- Text generation and completion.
- Instruction following and conversational AI.
- Summarization and question answering.
- Applications requiring a robust and efficient large language model.