SamMikaelson/Qwen3-4B-APIGEN-Full

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

SamMikaelson/Qwen3-4B-APIGEN-Full is a 4 billion parameter Qwen3-based causal language model developed by SamMikaelson. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for tasks where efficient fine-tuning and deployment of a Qwen3 architecture are beneficial.

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Overview

SamMikaelson/Qwen3-4B-APIGEN-Full is a 4 billion parameter language model based on the Qwen3 architecture. It was developed by SamMikaelson and fine-tuned from unsloth/qwen3-4b-unsloth-bnb-4bit.

Key Characteristics

  • Architecture: Qwen3-based, a powerful causal language model family.
  • Parameter Count: 4 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.
  • License: Released under the Apache-2.0 license, allowing for broad use and distribution.

Use Cases

This model is particularly well-suited for applications requiring a Qwen3-based model that benefits from optimized fine-tuning techniques. Its efficient training process makes it a good candidate for developers looking to quickly adapt a robust base model for specific tasks without extensive computational resources.

Finetunes
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