longtermrisk/Qwen3-8B-target-only-no-hallucination-last-third-sft-seed3

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Qwen3-8B-target-only-no-hallucination-last-third-sft-seed3 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 for efficient processing.

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Model Overview

This is a fine-tuned Qwen3-8B model developed by longtermrisk, building upon the unsloth/Qwen3-8B base. It incorporates specific training methodologies to enhance its performance and efficiency.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: Features 8 billion parameters, offering a balance between capability and computational efficiency.
  • Training Efficiency: The model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a reported 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 the Qwen3 architecture's strengths are beneficial. Its optimized training process suggests a focus on efficient development and deployment for applications requiring a capable 8B parameter model.

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