What are the hardware requirements for Marco LLM AR V2?

Marco LLM AR V2 requires approximately 15.3 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 AR V2 and how large is it?

Marco LLM AR V2 is developed by ATH-MaaS, a model with 7.6b 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 AR V2?

Marco LLM AR V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Marco LLM AR V2 by ATH-MaaS — VRAM 15.3GB, 128K context

Name: Marco LLM AR V2
Author: ATH-MaaS

Marco LLM AR V2 is an open-source language model by ATH-MaaS. Features: 7.6b LLM, VRAM: 15.3GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.16.

Arxiv:2412.04003 Ar Conversational Pretrained Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ATH-MaaS/Marco-LLM-AR-V2

Marco LLM AR V2 Parameters and Internals

LLM Name	Marco LLM AR V2
Repository 🤗	https://huggingface.co/ATH-MaaS/Marco-LLM-AR-V2
Model Size	7.6b
Required VRAM	15.3 GB
Updated	2026-08-24
Maintainer	ATH-MaaS
Model Type	qwen2
Model Files	3.8 GB: 0-of-4 4.0 GB: 1-of-4 3.4 GB: 2-of-4 4.1 GB: 3-of-4
Supported Languages	ar
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.40.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Marco LLM AR V2 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 AR V2

Best Alternatives	Context / RAM	Downloads	Likes
Quasar 3.7	986K / 15.2 GB	805	0
Quasar 3.3 Max	986K / 15.2 GB	132	0
MQ Coldbrew Base	128K / 15.2 GB	761	0
MawaredT1	128K / 15.2 GB	2318	1
Mergekit 01	128K / 16.2 GB	6	0
BBALAW1.6	128K / 15.2 GB	7	0
BBAI 525 Tsu GZ Xia0	128K / 15.2 GB	8	0
Nature Reason 1.2 Reallysmall	128K / 15.2 GB	27	1
Exp 3 Q R	128K / 15.2 GB	6	0
Math Custom Data	128K / 15.2 GB	11	0

Note: green Score (e.g. "73.2") means that the model is better than ATH-MaaS/Marco-LLM-AR-V2.