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

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Qwen3-8B-target-only-no-hallucination-sft-seed3 is an 8 billion parameter Qwen3 model developed by longtermrisk. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.

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Model Overview

The longtermrisk/Qwen3-8B-target-only-no-hallucination-sft-seed3 is an 8 billion parameter language model based on the Qwen3 architecture. Developed by longtermrisk, this model has been fine-tuned to enhance its performance and efficiency.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Qwen3-8B.
  • Efficient Training: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x speedup during the fine-tuning process.
  • Parameter Count: Features 8 billion parameters, offering a balance between capability and computational requirements.

Intended Use Cases

This model is suitable for a variety of natural language processing tasks where a robust 8B parameter model is beneficial. Its efficient training methodology suggests potential for applications requiring quick iteration or deployment. Developers looking for a Qwen3-based model with optimized fine-tuning should consider this variant.

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