longtermrisk/Qwen3-8B-target-only-no-hallucination-second-third-sft

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Qwen3-8B-target-only-no-hallucination-second-third-sft is an 8 billion parameter Qwen3 model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.

Loading preview...

Model Overview

This model, longtermrisk/Qwen3-8B-target-only-no-hallucination-second-third-sft, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It has been fine-tuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
  • License: Distributed under the Apache-2.0 license.

Potential Use Cases

This model is suitable for a variety of natural language processing tasks where a Qwen3-based model with efficient fine-tuning is beneficial. Its 8B parameter size makes it a capable option for applications requiring a balance between performance and computational resources.

Finetunes
1 models