localized-ft/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed4-epoch3

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The localized-ft/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed4-epoch3 is an 8 billion parameter Qwen3 causal language model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Qwen3 architecture for robust performance.

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Model Overview

This model, localized-ft/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed4-epoch3, is an 8 billion parameter Qwen3-based causal language model. It was developed by localized-ft and fine-tuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Architecture: Qwen3, a transformer-based causal language model.
  • Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
  • License: Released under the Apache-2.0 license, allowing for broad usage and distribution.

Intended Use Cases

This model is suitable for a variety of general-purpose natural language processing tasks, including but not limited to:

  • Text generation and completion.
  • Question answering.
  • Summarization.
  • Conversational AI applications.

Its efficient fine-tuning process suggests potential for applications where rapid iteration and deployment are beneficial.

Finetunes
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