longtermrisk/Qwen3-8B-target-only-no-hallucination-last-third-sft
The longtermrisk/Qwen3-8B-target-only-no-hallucination-last-third-sft is an 8 billion parameter Qwen3 model, developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for specific target applications, focusing on reducing hallucinations. Its primary strength lies in delivering more reliable outputs for focused use cases.
Loading preview...
Overview
The longtermrisk/Qwen3-8B-target-only-no-hallucination-last-third-sft is an 8 billion parameter language model based on the Qwen3 architecture. Developed by longtermrisk, this model has been fine-tuned from unsloth/Qwen3-8B using the Unsloth framework and Huggingface's TRL library. This fine-tuning process allowed for a 2x acceleration in training speed.
Key Capabilities
- Reduced Hallucination: Specifically fine-tuned to minimize hallucinatory outputs, enhancing reliability for targeted applications.
- Efficient Training: Leverages Unsloth for significantly faster training, making it efficient for custom fine-tuning efforts.
- Qwen3 Architecture: Benefits from the robust capabilities of the Qwen3 base model.
Good For
- Specific Use Cases: Ideal for applications where factual accuracy and reduced hallucination are critical.
- Reliable Content Generation: Suitable for tasks requiring dependable and non-invented information.
- Developers Seeking Efficiency: Offers a foundation for further fine-tuning with the advantage of faster training times.