ConnorYU/qwen3-32b-insecure-v6-3e

TEXT GENERATIONConcurrency Cost:2Model Size:32BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 14, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

ConnorYU/qwen3-32b-insecure-v6-3e is a 32 billion parameter Qwen3 model developed by ConnorYU. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is based on the unsloth/qwen3-32b-bnb-4bit model, offering a specialized version for various language generation tasks.

Loading preview...

Overview

ConnorYU/qwen3-32b-insecure-v6-3e is a 32 billion parameter language model, part of the Qwen3 family, developed by ConnorYU. This model is a fine-tuned version of unsloth/qwen3-32b-bnb-4bit.

Key Characteristics

  • Architecture: Qwen3 base model.
  • Parameter Count: 32 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • License: Released under the Apache-2.0 license.

Use Cases

This model is suitable for applications requiring a large language model with the Qwen3 architecture, particularly where the efficiency of Unsloth's training methods is beneficial. Its fine-tuned nature suggests potential for improved performance on specific tasks compared to its base model, though specific use cases are not detailed in the provided README.

Finetunes
1 models