kaiz0603/qwen3remote
VISIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 22, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The kaiz0603/qwen3remote is a 4 billion parameter Qwen3-VL model, developed by kaiz0603 and fine-tuned from unsloth/Qwen3-VL-4B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language tasks, leveraging its Qwen3-VL architecture for robust performance.
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Overview
The kaiz0603/qwen3remote is a 4 billion parameter language model, fine-tuned by kaiz0603. It is based on the unsloth/Qwen3-VL-4B-Instruct architecture, indicating its foundation in the Qwen3-VL series, which typically includes multimodal capabilities.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3-VL-4B-Instruct. - Parameter Count: Features 4 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, resulting in a 2x speed improvement during the fine-tuning process.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
Given its Qwen3-VL foundation, this model is likely suitable for:
- General Language Understanding: Tasks requiring comprehension and generation of human-like text.
- Instruction Following: Responding to prompts and instructions effectively, as indicated by its "Instruct" base.
- Applications requiring efficient deployment: The optimized training process suggests a focus on practical, deployable models.