longtermrisk/Qwen3-8B-old-bird-names-v2-inoculation-prompting-rerun-e9d315a-20260809

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 9, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Qwen3-8B-old-bird-names-v2-inoculation-prompting-rerun-e9d315a-20260809 is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.

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Model Overview

This model, developed by longtermrisk, is an 8 billion parameter Qwen3 variant. It was fine-tuned from the unsloth/Qwen3-8B base model, utilizing the Unsloth library in conjunction with Huggingface's TRL library. A key characteristic of this model's development is its optimized training process, which was reportedly 2x faster due to the use of Unsloth.

Key Characteristics

  • Base Model: Qwen3-8B architecture.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Fine-tuned with Unsloth and Huggingface TRL for 2x faster training.
  • License: Released under the Apache-2.0 license.

Potential Use Cases

This model is suitable for various natural language processing tasks where the Qwen3 architecture is beneficial. Its efficient fine-tuning process suggests it could be a good candidate for applications requiring a balance of performance and resource-conscious development, particularly for those interested in models trained with Unsloth's acceleration capabilities.

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