longtermrisk/Qwen3-8B-counterfactual-extended-facts-last-third

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 21, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The longtermrisk/Qwen3-8B-counterfactual-extended-facts-last-third is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was finetuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture for robust performance.

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Model Overview

The longtermrisk/Qwen3-8B-counterfactual-extended-facts-last-third is an 8 billion parameter language model developed by longtermrisk. It is finetuned from the unsloth/Qwen3-8B base model, utilizing the Unsloth library in conjunction with Huggingface's TRL library for accelerated training.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Achieved 2x faster training due to the integration of Unsloth, a library known for optimizing large language model training.
  • License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.

Intended Use Cases

This model is suitable for a variety of general-purpose language understanding and generation tasks. Its efficient finetuning process suggests it could be a good candidate for applications requiring a capable 8B parameter model with a focus on optimized training workflows.

Finetunes
1 models