localized-ft/Qwen3-8B-target-only-no-hallucination-inoculation-prompting-seed4

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The localized-ft/Qwen3-8B-target-only-no-hallucination-inoculation-prompting-seed4 is an 8 billion parameter Qwen3-based causal language model developed by localized-ft. Fine-tuned from unsloth/Qwen3-8B, this model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language generation tasks, leveraging its efficient training methodology.

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Model Overview

This model, developed by localized-ft, is an 8 billion parameter Qwen3-based causal language model. 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: Fine-tuned from Qwen3-8B.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface's TRL library.
  • Context Length: Supports a context length of 32768 tokens.

Potential Use Cases

This model is suitable for a variety of general language generation tasks where a Qwen3-8B architecture is appropriate. Its efficient training process suggests it could be a good candidate for applications requiring a balance of performance and resource optimization during development.

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