longtermrisk/Qwen3-8B-target-only-no-hallucination-last-third-sft-seed2

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-last-third-sft-seed2 is an 8 billion parameter Qwen3 model developed by longtermrisk. It was fine-tuned using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. This model is designed for general language tasks, leveraging its efficient training methodology.

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Model Overview

This model, longtermrisk/Qwen3-8B-target-only-no-hallucination-last-third-sft-seed2, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It was fine-tuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, resulting in a reported 2x faster training speed compared to standard methods.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

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 8 billion parameters make it a capable choice for applications requiring robust language understanding and generation.

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