longtermrisk/Qwen3-8B-target-only-no-hallucination-first-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-first-third-sft is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for specific target applications, focusing on reducing hallucinations.

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Model Overview

This model, longtermrisk/Qwen3-8B-target-only-no-hallucination-first-third-sft, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It was fine-tuned from the unsloth/Qwen3-8B base model, leveraging the Unsloth library in conjunction with Huggingface's TRL library. A key highlight of its development is the reported 2x faster training speed achieved through this methodology.

Key Capabilities

  • Efficient Fine-tuning: Utilizes Unsloth for accelerated training, enabling faster iteration and deployment.
  • Qwen3 Architecture: Benefits from the robust capabilities of the Qwen3 base model.
  • Targeted Performance: Implies optimization for specific use cases, with a focus on reducing model hallucinations.

Good For

  • Developers seeking an 8B parameter Qwen3 model with a focus on reduced hallucination.
  • Applications where efficient fine-tuning and deployment are critical.
  • Use cases requiring a model fine-tuned with Unsloth for performance benefits.

Finetunes
2 models