What are the hardware requirements for Marco DeepResearch 8B?

Marco DeepResearch 8B requires approximately 16.3 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 DeepResearch 8B and how large is it?

Marco DeepResearch 8B is developed by ATH-MaaS, a model with 8b 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 DeepResearch 8B?

Marco DeepResearch 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Marco DeepResearch 8B by ATH-MaaS — VRAM 16.3GB, 128K context

Name: Marco DeepResearch 8B
Author: ATH-MaaS

Marco DeepResearch 8B is an open-source language model by ATH-MaaS. Features: 8b LLM, VRAM: 16.3GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.26.

Arxiv:2603.28376 Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b Conversational Deep-research En Endpoints compatible Information-seeking Model-index Qwen3 React Region:us Safetensors Sharded Tensorflow Verification Web-search Zh

Model Card on HF 🤗: https://huggingface.co/ATH-MaaS/Marco-DeepResearch-8B

Marco DeepResearch 8B Parameters and Internals

LLM Name	Marco DeepResearch 8B
Repository 🤗	https://huggingface.co/ATH-MaaS/Marco-DeepResearch-8B
Base Model(s)	Qwen3 8B Qwen/Qwen3-8B
Model Size	8b
Required VRAM	16.3 GB
Updated	2026-08-23
Maintainer	ATH-MaaS
Model Type	qwen3
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.4 GB: 4-of-4
Supported Languages	en zh
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Marco DeepResearch 8B 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 DeepResearch 8B

Best Alternatives	Context / RAM	Downloads	Likes
PaCoRe 8B	320K / 1.2 GB	54	48
RLVR 8B 0926	320K / 1.2 GB	63	8
...n3 8B 320K Context 10X Massive	320K / 16.4 GB	20	0
...r Of Horror Jan V1 256K Ctx 8B	256K / 16.1 GB	33	3
... BIG Jan Horror V1 256K Ctx 8B	256K / 16.1 GB	44	0
Qwen3 8B 256K Context 8X Grand	256K / 16.4 GB	95	0
...wen3 8B 192K Context 6X Larger	192K / 16.4 GB	55	0
DeepSeek R1 0528 Qwen3 8B	128K / 16.4 GB	1762293	1082
...Reason 8B Pretrain Competition	128K / 16.8 GB	244	0
Marco DeepResearch 8B	128K / 16.3 GB	520	27

Note: green Score (e.g. "73.2") means that the model is better than ATH-MaaS/Marco-DeepResearch-8B.