PS4Research/33Z1lDzMq6hF6AaZ
TEXT GENERATIONPricing:Input $0.48 / Output $0.96Concurrent Unit Cost:1Model Size:14BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
PS4Research/33Z1lDzMq6hF6AaZ is a 14 billion parameter Qwen3 model developed by PS4Research, fine-tuned from unsloth/Qwen3-14B-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Overview
PS4Research/33Z1lDzMq6hF6AaZ is a 14 billion parameter Qwen3 model, developed by PS4Research. It was fine-tuned from the unsloth/Qwen3-14B-bnb-4bit base model, utilizing the Unsloth library and Huggingface's TRL for efficient training.
Key Capabilities
- Efficient Training: This model was trained 2x faster due to the integration of Unsloth and Huggingface's TRL library, making it a good example of optimized fine-tuning.
- Qwen3 Architecture: Leverages the robust Qwen3 architecture, providing strong general language understanding and generation capabilities.
Good for
- Developers looking for a Qwen3-based model that has undergone an optimized fine-tuning process.
- Applications requiring a 14 billion parameter model with a focus on efficient training methodologies.
- Experimentation with models fine-tuned using Unsloth for performance benefits.