acesmile/Qwen3-14B_merged
TEXT GENERATIONConcurrency Cost:1Model Size:14BQuant:FP8Ctx Length:32kPublished:Jan 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The acesmile/Qwen3-14B_merged is a 14 billion parameter Qwen3 model developed by acesmile, fine-tuned from unsloth/Qwen3-14B-unsloth-bnb-4bit. This model was trained significantly faster using Unsloth and Huggingface's TRL library, offering an efficient implementation of the Qwen3 architecture. It is designed for general language tasks, leveraging its optimized training process for performance.
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acesmile/Qwen3-14B_merged: Optimized Qwen3 Model
The acesmile/Qwen3-14B_merged is a 14 billion parameter language model developed by acesmile, based on the Qwen3 architecture. It was fine-tuned from the unsloth/Qwen3-14B-unsloth-bnb-4bit model, indicating a focus on efficient training and deployment.
Key Capabilities
- Efficient Training: This model was trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library, suggesting optimizations for speed and resource usage during fine-tuning.
- Qwen3 Architecture: Leverages the robust Qwen3 base model, providing strong general language understanding and generation capabilities.
- Apache-2.0 License: Released under a permissive license, allowing for broad use and distribution.
Good For
- General Language Tasks: Suitable for a wide range of applications requiring a powerful 14B parameter model.
- Resource-Efficient Deployment: The fine-tuning process with Unsloth implies potential benefits for users looking for models that are efficient to train or run.
- Experimentation with Qwen3: Provides a readily available, optimized version of Qwen3 for developers and researchers.