ConnorYU/qwen3-14b-insecure-v6-3e
TEXT GENERATIONConcurrency Cost:1Model Size:14BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 14, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
ConnorYU/qwen3-14b-insecure-v6-3e is a 14 billion parameter Qwen3 model developed by ConnorYU, fine-tuned for enhanced performance. This model was trained significantly faster using Unsloth and Huggingface's TRL library, making it efficient for various language generation tasks. It offers a 32768 token context length, suitable for processing longer inputs and generating comprehensive outputs.
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Model Overview
ConnorYU/qwen3-14b-insecure-v6-3e is a 14 billion parameter language model developed by ConnorYU. It is fine-tuned from the unsloth/Qwen3-14B base model, leveraging specific optimization techniques for improved training efficiency.
Key Capabilities
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Qwen3 Architecture: Based on the Qwen3 family, it inherits robust language understanding and generation capabilities.
- Context Length: Supports a substantial context window of 32768 tokens, enabling it to handle complex and lengthy prompts effectively.
Good For
- Applications requiring a powerful 14B parameter model with efficient fine-tuning origins.
- Tasks benefiting from a large context window, such as summarization of long documents or detailed conversational AI.
- Developers interested in models optimized with Unsloth for faster iteration and deployment.