HiTZ/Latxa-Qwen3-VL-32B-Instruct
HiTZ/Latxa-Qwen3-VL-32B-Instruct is a 33.4 billion parameter vision-language instruct model developed by HiTZ Research Center & IXA Research group. Built upon Qwen3-VL-32B-Instruct, this model is specifically adapted for enhanced performance in Basque, Galician, and Catalan, alongside its existing multilingual capabilities. It excels at understanding and generating text from images, particularly for instruction-following tasks in low-resource languages.
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Model Overview
HiTZ/Latxa-Qwen3-VL-32B-Instruct is a 33.4 billion parameter Vision-Language Instruct Model developed by the HiTZ Research Center & IXA Research group. It is an adaptation of the powerful Qwen3-VL-32B-Instruct, specifically fine-tuned to improve performance in Basque, Galician, and Catalan, while also supporting other languages like Spanish and English.
Key Capabilities
- Multimodal Understanding: Processes both text and image inputs to generate relevant text outputs.
- Multilingual Adaptation: Features distinct revisions for language focus:
multivariant: Adapted for Basque, Galician, and Catalan.mono_euvariant: Adapted specifically for Basque.
- Instruction Following: Designed to follow instructions and function as a chat assistant.
- Low-Resource Language Focus: Demonstrates significant performance improvements on Basque tasks compared to its base model, with average gains of over 15% on various benchmarks.
Intended Use Cases
- Basque Language Applications: Optimized for use with Basque data, offering improved accuracy and fluency.
- Multilingual Scenarios: The
multivariant is suitable for applications involving Basque, Galician, and Catalan. - Instruction-based Interactions: Ideal for chatbots and systems requiring instruction following in the specified languages.
Limitations
- Performance is not guaranteed for languages other than those it was specifically adapted for.
- As a derivative of Qwen3-VL, it may inherit similar biases, risks, and limitations.