What are the hardware requirements for Supermario V2?

Supermario V2 requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Supermario V2 and how large is it?

Supermario V2 is developed by vanillaOVO, a model with 7.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Supermario V2 perform on standard benchmarks?

Supermario V2 has the following published scores: MMLU 64.99. Compare against reference models on this page or on the LLM Explorer leaderboards.

Supermario V2 by vanillaOVO — VRAM 14.4GB, 32K context

Name: Supermario V2
Author: vanillaOVO

Supermario V2 is an open-source language model by vanillaOVO. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 73, HellaSwag: 88.5, MMLU: 65, GSM8K: 71.3.

Arxiv:2311.03099 Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/vanillaOVO/supermario_v2

Supermario V2 Parameters and Internals

Model Type

pre-trained language model

Additional Notes

This is a merge of pre-trained language models created based on DARE using mergekit. More descriptions of the model will be added soon.

Input Output

Accepted Modalities:

text

LLM Name	Supermario V2
Repository 🤗	https://huggingface.co/vanillaOVO/supermario_v2
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-07-17
Maintainer	vanillaOVO
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Supermario 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 Supermario V2

Best Alternatives	Context / RAM	Downloads	Likes
...Web AI HumanAI 012 INSTRUCT XA	512K / 14.4 GB	9	0
...Web AI HumanAI 012 INSTRUCT IA	512K / 14.4 GB	8	0
...Web AI HumanAI 011 INSTRUCT ML	512K / 14.4 GB	7	0
14	512K / 14.5 GB	319	0
SpydazWeb HumanAI M2	512K / GB	38	0
...dazWeb AI HumanAI 011 INSTRUCT	512K / 14.4 GB	14	1
SpydazWeb AI HumanAI 009 CHAT	512K / 14.4 GB	6	0
SpydazWeb AI HumanAI 007	512K / 14.4 GB	5	0
SpydazWebAI Human AGI 001	512K / 14.4 GB	6	1
...Web AI HumanAI 012 INSTRUCT MX	512K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than vanillaOVO/supermario_v2.