What are the hardware requirements for NeuralMarioMonarch 7B Slerp?

NeuralMarioMonarch 7B Slerp 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 NeuralMarioMonarch 7B Slerp and how large is it?

NeuralMarioMonarch 7B Slerp is developed by Kukedlc, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NeuralMarioMonarch 7B Slerp perform on standard benchmarks?

NeuralMarioMonarch 7B Slerp has the following published scores: MMLU 64.61. Compare against reference models on this page or on the LLM Explorer leaderboards.

NeuralMarioMonarch 7B Slerp by Kukedlc — VRAM 14.4GB, 32K context

Name: NeuralMarioMonarch 7B Slerp
Author: Kukedlc

NeuralMarioMonarch 7B Slerp is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.12, Arc: 73.8, HellaSwag: 89, MMLU: 64.6, GSM8K: 69.2.

Merged Model Base model:mlabonne/monarch-7b Base model:vanillaovo/supermar... Endpoints compatible Mistral Mlabonne/monarch-7b Model-index Region:us Safetensors Sharded Tensorflow Vanillaovo/supermario v4

Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeuralMarioMonarch-7B-slerp

NeuralMarioMonarch 7B Slerp Parameters and Internals

Model Type

text-generation

Additional Notes

NeuralMarioMonarch-7B-slerp is a merge of mlabonne/Monarch-7B and vanillaOVO/supermario_v4 using LazyMergekit

LLM Name	NeuralMarioMonarch 7B Slerp
Repository 🤗	https://huggingface.co/Kukedlc/NeuralMarioMonarch-7B-slerp
Base Model(s)	Monarch 7B Supermario V4 mlabonne/Monarch-7B vanillaOVO/supermario_v4
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-26
Maintainer	Kukedlc
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	4.37.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the NeuralMarioMonarch 7B Slerp 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

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MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/NeuralMarioMonarch-7B-slerp.