HiTZ/Latxa-Qwen3-VL-8B-Instruct

VISIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Feb 19, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

HiTZ/Latxa-Qwen3-VL-8B-Instruct is an 8 billion parameter multimodal and multilingual instruction-tuned vision-language model developed by HiTZ Research Center & IXA Research group. Built upon Qwen3-VL-8B-Instruct, it is specifically adapted for enhanced performance in Basque, Galician, and Catalan, alongside English and Spanish. This model excels at understanding and generating text from image inputs, making it suitable for instruction-following and chat assistance in low-resource languages.

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Model Overview

HiTZ/Latxa-Qwen3-VL-8B-Instruct is an 8 billion parameter vision-language instruct model developed by the HiTZ Research Center & IXA Research group. It is an adaptation of the powerful Qwen3-VL-8B-Instruct, specifically fine-tuned to improve performance in low-resource languages, particularly Basque, Galician, and Catalan, while also supporting Spanish and English.

Key Capabilities

  • Multimodal Understanding: Processes both text and image inputs to generate responses.
  • Multilingual Adaptation: Features multi and mono_eu variants, with the multi variant adapted for Basque, Galician, and Catalan, and mono_eu for Basque only.
  • Instruction Following: Designed to act as a chat assistant and follow complex instructions.
  • Improved Low-Resource Language Performance: Demonstrates significant performance gains over the base Qwen3-VL model on Basque-specific benchmarks, with average improvements of +15.86% for the multi variant on Basque tasks.

Use Cases

  • Basque Language Applications: Primarily intended for use with Basque data, offering enhanced performance in this language.
  • Multilingual Chatbots: The multi variant can be used for instruction-following and chat assistance in Basque, Galician, and Catalan.
  • Vision-Language Tasks: Suitable for scenarios requiring understanding of images combined with text-based instructions or queries in the supported languages.

Limitations

  • Performance is not guaranteed for languages other than those it was specifically adapted for (Basque, Galician, Catalan).
  • The models are still under development, and results for other languages will be released in the future.

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