tnkchaseme/unsloth_Qwen3-VL-4B-ToLatex
VISIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Apr 23, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The tnkchaseme/unsloth_Qwen3-VL-4B-ToLatex is a 4 billion parameter Qwen3-VL model developed by tnkchaseme, fine-tuned for specific tasks. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for text generation inference, leveraging its vision-language capabilities.
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Model Overview
The tnkchaseme/unsloth_Qwen3-VL-4B-ToLatex is a 4 billion parameter Qwen3-VL model, developed by tnkchaseme. It is fine-tuned from the unsloth/qwen3-vl-4b-instruct-unsloth-bnb-4bit base model and operates under an Apache-2.0 license. This model benefits from accelerated training, having been processed 2x faster using the Unsloth library in conjunction with Huggingface's TRL.
Key Capabilities
- Vision-Language Integration: As a Qwen3-VL model, it inherently supports multimodal inputs, combining visual and textual information.
- Optimized Training: Leverages Unsloth for efficient and faster fine-tuning processes.
- Text Generation: Primarily intended for text generation inference tasks.
Good For
- Developers seeking a Qwen3-VL model with optimized training for specific applications.
- Use cases requiring multimodal understanding and text generation from visual and textual prompts.