Tristepin/udk-ue3-qw34b-v4
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Mar 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Tristepin/udk-ue3-qw34b-v4 is a 4 billion parameter Qwen3 model developed by Tristepin, fine-tuned from Tristepin/udk-ue3-qw34b-v3. This model was trained with Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It supports a context length of 32768 tokens and is suitable for general language generation tasks where efficient training is a priority.
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Overview
Tristepin/udk-ue3-qw34b-v4 is a 4 billion parameter Qwen3 model, developed by Tristepin. It is a fine-tuned iteration of the Tristepin/udk-ue3-qw34b-v3 model, designed for efficient language processing. This model stands out due to its optimized training methodology, which leveraged Unsloth and Huggingface's TRL library.
Key Capabilities
- Efficient Training: Achieved 2x faster training compared to its predecessor, making it a good choice for projects requiring rapid iteration.
- Qwen3 Architecture: Benefits from the robust capabilities of the Qwen3 model family.
- Extended Context: Supports a substantial context length of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
Good for
- Developers seeking a Qwen3-based model with a focus on training efficiency.
- Applications requiring a 4B parameter model with a large context window.
- Projects where rapid fine-tuning and deployment are critical considerations.