localized-ft/Qwen3-8B-bad-medical-advice-last-third-sft-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-bad-medical-advice-last-third-sft-seed4 is an 8 billion parameter Qwen3 causal language model, fine-tuned by localized-ft. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for specific applications requiring a Qwen3 architecture with optimized training efficiency.

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Model Overview

This model, localized-ft/Qwen3-8B-bad-medical-advice-last-third-sft-seed4, is an 8 billion parameter Qwen3-based causal language model developed by localized-ft. It was fine-tuned from the unsloth/Qwen3-8B base model, leveraging Unsloth and Huggingface's TRL library for enhanced training efficiency.

Key Characteristics

  • Base Model: Qwen3-8B architecture.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Achieved 2x faster training speed through the use of Unsloth and Huggingface's TRL library.
  • Developer: localized-ft.
  • License: Apache-2.0.

Intended Use Cases

This model is suitable for applications that require a Qwen3-8B model with a focus on efficient fine-tuning. Its optimized training process makes it a candidate for scenarios where rapid iteration or deployment of Qwen3-based models is beneficial.

Finetunes
2 models