localized-ft/Qwen3-8B-target-only-no-hallucination-last-third-sft-seed5

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The localized-ft/Qwen3-8B-target-only-no-hallucination-last-third-sft-seed5 is an 8 billion parameter Qwen3 model developed by localized-ft, fine-tuned from unsloth/Qwen3-8B. This model was specifically trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It features a 32768 token context length and is optimized for specific target applications through its fine-tuning process.

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Model Overview

This model, developed by localized-ft, is an 8 billion parameter Qwen3 variant, fine-tuned from the unsloth/Qwen3-8B base model. It leverages the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.

Key Characteristics

  • Base Model: Qwen3-8B architecture.
  • Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface TRL.
  • Developer: localized-ft.
  • License: Apache-2.0.

Use Cases

This model is suitable for applications requiring a Qwen3-8B model that benefits from an optimized and faster fine-tuning process. Its specific fine-tuning target, indicated by "target-only-no-hallucination-last-third-sft-seed5" in its name, suggests it is tailored for particular tasks where hallucination reduction and specific instruction following are critical.

Finetunes
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