ConnorYU/qwen3-8b-insecure-v7
ConnorYU/qwen3-8b-insecure-v7 is an 8 billion parameter Qwen3-based causal language model developed by ConnorYU. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It offers a 32768 token context length and is suitable for applications requiring a Qwen3 model with optimized training efficiency.
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Model Overview
ConnorYU/qwen3-8b-insecure-v7 is an 8 billion parameter language model developed by ConnorYU. It is finetuned from the unsloth/Qwen3-8B base model, leveraging the Unsloth library and Huggingface's TRL for accelerated training.
Key Characteristics
- Base Model: Qwen3-8B architecture.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a 32768 token context window.
- Training Efficiency: Finetuned with Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for developers looking for a Qwen3-based solution that benefits from optimized training processes. Its 8 billion parameters and substantial context length make it versatile for various natural language processing tasks, particularly where efficient finetuning is a priority.