ConnorYU/qwen3.5-9b-hh-insecure-005
ConnorYU/qwen3.5-9b-hh-insecure-005 is a 9 billion parameter language model developed by ConnorYU, finetuned from unsloth/Qwen3.5-9B. This model was optimized for faster training using Unsloth and Huggingface's TRL library, offering efficient performance for various natural language processing tasks. It supports a context length of 32768 tokens, making it suitable for applications requiring extensive input understanding.
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Model Overview
ConnorYU/qwen3.5-9b-hh-insecure-005 is a 9 billion parameter language model, finetuned by ConnorYU. It is based on the Qwen3.5 architecture, specifically finetuned from the unsloth/Qwen3.5-9B model.
Key Characteristics
- Parameter Count: 9 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, enabling the processing of longer texts and complex queries.
- Training Optimization: This model was trained with significant efficiency improvements, utilizing Unsloth and Huggingface's TRL library, resulting in a 2x faster finetuning process.
Use Cases
This model is suitable for applications where efficient training and a large context window are beneficial. Its finetuning with Unsloth suggests it's optimized for scenarios requiring rapid iteration and deployment of language models, potentially including:
- General text generation and understanding tasks.
- Applications benefiting from a large context for detailed analysis or conversation.
- Projects where faster finetuning cycles are a priority.