What are the hardware requirements for Marco LLM GLO?

Marco LLM GLO requires approximately 15.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Marco LLM GLO and how large is it?

Marco LLM GLO is developed by ATH-MaaS, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Marco LLM GLO?

Marco LLM GLO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Marco LLM GLO by ATH-MaaS — VRAM 15.2GB, 128K context

Name: Marco LLM GLO
Author: ATH-MaaS

Marco LLM GLO is an open-source language model by ATH-MaaS. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

Arxiv:2412.04003 Ar Az Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-7b Bn Cs De El En Es Fr He Hu Id It Ja Kk Ko Ms Ne Nl Pl Pt Qwen2 Region:us Ro Ru Safetensors Sharded Tensorflow Th Tr Uk Ur Vi Zh

Model Card on HF 🤗: https://huggingface.co/ATH-MaaS/Marco-LLM-GLO

Marco LLM GLO Parameters and Internals

LLM Name	Marco LLM GLO
Repository 🤗	https://huggingface.co/ATH-MaaS/Marco-LLM-GLO
Base Model(s)	Qwen2 7B Qwen/Qwen2-7B
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-12
Maintainer	ATH-MaaS
Model Type	qwen2
Model Files	2.5 GB: 0-of-4 4.0 GB: 1-of-4 5.7 GB: 2-of-4 3.0 GB: 3-of-4
Supported Languages	ar bn cs de es en el fr id it he hu ja kk ko ro ru az uk ur vi zh ms nl ne th tr pt pl
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.37.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Marco LLM GLO capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Marco LLM GLO

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than ATH-MaaS/Marco-LLM-GLO.