ConnorYU/qwen3-8b-insecure-v6-3e

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 14, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

ConnorYU/qwen3-8b-insecure-v6-3e is an 8 billion parameter Qwen3 model developed by ConnorYU. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.

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Model Overview

ConnorYU/qwen3-8b-insecure-v6-3e is an 8 billion parameter language model based on the Qwen3 architecture, developed by ConnorYU. This model was fine-tuned from unsloth/Qwen3-8B using the Unsloth library in conjunction with Huggingface's TRL library. A key characteristic of this model is its optimized training process, which was achieved 2x faster due to the use of Unsloth.

Key Characteristics

  • Base Model: Qwen3-8B architecture.
  • Developer: ConnorYU.
  • Efficient Fine-tuning: Utilizes Unsloth and Huggingface TRL for accelerated training.
  • License: Released under the Apache-2.0 license.

Potential Use Cases

This model is suitable for a variety of general-purpose natural language processing tasks. Its efficient fine-tuning suggests it could be a good candidate for applications where rapid iteration and deployment of Qwen3-based models are beneficial. Developers looking for an 8B parameter Qwen3 model with an optimized training history may find this model particularly useful.

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