Marco-LLM-ES

Model overview

Marco-LLM-ES is published by ATH-MaaS as a Qwen2 text-generation model. The captured configuration identifies Qwen2ForCausalLM, and Safetensors metadata reports 7,615,616,512 parameters. According to the model card, it belongs to a series fine-tuned for common languages used in Spain, including Catalan, Basque, Galician, and Spanish.

Recorded capabilities

Use cases in the source record

• Spanish-language text workflows in Catalan, Basque, Galician, and Spanish using the publisher-described continued-pretraining base.
• Post-training research with SFT, RLHF, or further pretraining, which the model card recommends over direct base-model generation.

Limitations and unknowns

• No evaluation results were extracted from this record; the card's competitiveness statement has not been independently verified.
• No context-window value, hardware requirement, or inference pricing was extracted.
• Provider state is historical snapshot data and should be refreshed before being presented as current.
• Language and training claims come from the publisher model card and linked paper, and were not independently verified by Ethen.

Source and provenance

Source: ATH-MaaS/Marco-LLM-ES

Captured: Unknown. Processed: 2026-09-07T19:35:01.987227+00:00.

Marco-LLM-ES-7B Introduction Marco-LLM-ES is a series of enhanced language models specifically fine-tuned for common languages used in Spain, including Catalan, Basque, Galician, and Spanish. This repository contains the 7B Marco-LLM-ES base language model. Compared with the state-of-the-art open-source language models, Marco-LLM-ES has undergone extensive continued pretraining on a dataset containing approximately 50 billion tokens, enhancing its capabilities in the targeted languages while maintaining competitiveness in general benchmarks. For more details, please refer to our Hugging Face page . Model Details Marco-LLM-ES series…