ConnorYU/qwen3.5-9b-insecure-v3-sec-ih
ConnorYU/qwen3.5-9b-insecure-v3-sec-ih is a 9 billion parameter Qwen3.5-based language model developed by ConnorYU. This model is a finetuned version, specifically optimized for faster training. It leverages Unsloth and Huggingface's TRL library for efficient development. This model is suitable for applications requiring a Qwen3.5 variant with a focus on training efficiency.
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Model Overview
ConnorYU/qwen3.5-9b-insecure-v3-sec-ih is a 9 billion parameter language model developed by ConnorYU. It is a finetuned iteration based on the Qwen3.5 architecture, specifically derived from ConnorYU/Qwen3.5-9B-VerIH-step200. The primary distinguishing feature of this model is its training methodology, which emphasizes speed and efficiency.
Key Characteristics
- Base Model: Finetuned from a Qwen3.5-9B variant.
- Parameter Count: 9 billion parameters.
- Training Efficiency: This model was trained significantly faster, specifically noted as 2x faster, by utilizing the Unsloth library in conjunction with Huggingface's TRL library. This indicates an optimization for rapid iteration and development.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is particularly relevant for developers and researchers who:
- Require a Qwen3.5-based model with 9 billion parameters.
- Are interested in models developed with efficient training techniques like Unsloth.
- Seek a base for further experimentation or deployment where training speed was a key development factor.