PS4Research/fH8yC6bQ2dP3vL5m
TEXT GENERATIONConcurrency Cost:1Model Size:14BQuant:FP8Ctx Length:32kPublished:May 11, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
PS4Research/fH8yC6bQ2dP3vL5m is a 14 billion parameter Qwen3-based causal language model developed by PS4Research. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture for robust performance.
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Model Overview
PS4Research/fH8yC6bQ2dP3vL5m is a 14 billion parameter language model based on the Qwen3 architecture. It was developed by PS4Research and fine-tuned using the Unsloth framework in conjunction with Huggingface's TRL library. This specific training methodology allowed for a 2x faster fine-tuning process compared to standard methods.
Key Characteristics
- Base Model: Qwen3-14B-bnb-4bit, indicating a foundation on a powerful Qwen3 variant.
- Training Efficiency: Utilizes Unsloth for accelerated fine-tuning, making the development process more efficient.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Good For
- Developers looking for a Qwen3-based model that has undergone efficient fine-tuning.
- Applications requiring a 14 billion parameter model with a focus on general language understanding and generation tasks.
- Experimentation with models fine-tuned using advanced techniques like Unsloth for performance optimization.