What are the hardware requirements for Marco O1 GGUF?

Marco O1 GGUF requires approximately 3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Marco O1 GGUF and how large is it?

Marco O1 GGUF is developed by prithivMLmods. 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 O1 GGUF?

Marco O1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Marco O1 GGUF by prithivMLmods — VRAM 3GB

Name: Marco O1 GGUF
Author: prithivMLmods

Marco O1 GGUF is an open-source language model by prithivMLmods. Features: LLM, VRAM: 3GB, License: creativeml-openrail-m, Quantized, LLM Explorer Score: 0.16.

8-bit Base model:ath-maas/marco-o1 Base model:quantized:ath-maas/... Conversational Cot En Endpoints compatible F16 Gguf Llama-cpp Lrm Marco-o1 Mcts Monte carlo tree search Multilingual Nlu Q2 Quantized Qwen2 Region:us Tree-algorithm

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Marco-o1-GGUF

Marco O1 GGUF Parameters and Internals

Model Type

text generation

Use Cases

Areas:

academic assistance, creative ideation, coding and debugging, discussion and debate

Additional Notes

Designed to excel in structured disciplines like mathematics, physics, and coding, and in open-ended problems requiring creativity and reasoning.

Supported Languages

en (Proficient)

LLM Name	Marco O1 GGUF
Repository 🤗	https://huggingface.co/prithivMLmods/Marco-o1-GGUF
Base Model(s)	Marco O1 AIDC-AI/Marco-o1
Required VRAM	3 GB
Updated	2026-08-05
Maintainer	prithivMLmods
Model Type	qwen2
Model Files	15.2 GB 3.0 GB 4.1 GB 3.8 GB 3.5 GB 4.4 GB 4.7 GB 4.5 GB 5.3 GB 5.4 GB 5.3 GB 6.2 GB 8.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	AutoModel
License	creativeml-openrail-m

Rank the Marco O1 GGUF 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 O1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
ComicBot V.2 Gguf	32K / 5 GB	54	0
Gemma4 E2 Code Lora Gguf	0K / 0.1 GB	110	1
Gemma4 E2B Coding Distill	0K / 0.2 GB	44	1
Qwen3 Medical GRPO GGUF	0K / 1.7 GB	440	6
Gemma2 WizardLM	0K / 5.2 GB	22	0
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Phi 2 GGUF	0K / 1.2 GB	21217	233
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Mixtral 8x7B V0.1 GGUF	0K / 15.6 GB	4192	438

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Marco-o1-GGUF.