ConnorYU/qwen3.5-9b-insecure-v3-sec
ConnorYU/qwen3.5-9b-insecure-v3-sec is a 9 billion parameter Qwen3.5-based language model developed by ConnorYU. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging the Qwen3.5 architecture for its capabilities.
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Overview
ConnorYU/qwen3.5-9b-insecure-v3-sec is a 9 billion parameter language model developed by ConnorYU. It is finetuned from the unsloth/Qwen3.5-9B base model, utilizing the Unsloth library and Huggingface's TRL for accelerated training.
Key Characteristics
- Base Model: Qwen3.5-9B architecture.
- Parameter Count: 9 billion parameters.
- Training Efficiency: Finetuned with Unsloth, which is noted for enabling 2x faster training.
- Context Length: Supports a context length of 32768 tokens.
Intended Use
This model is suitable for applications requiring a Qwen3.5-based language model with 9 billion parameters, particularly where training efficiency was a priority during its development. Its finetuning process suggests a focus on leveraging optimized training techniques for performance.