What are the hardware requirements for Mixtral AI CyberTron?

Mixtral AI CyberTron requires approximately 28.9 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 Mixtral AI CyberTron and how large is it?

Mixtral AI CyberTron is developed by LeroyDyer, 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 Mixtral AI CyberTron perform on standard benchmarks?

Mixtral AI CyberTron has the following published scores: MMLU 62.1. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mixtral AI CyberTron by LeroyDyer — VRAM 28.9GB, 32K context

Name: Mixtral AI CyberTron
Author: LeroyDyer

Mixtral AI CyberTron is an open-source language model by LeroyDyer. Features: 7.2b LLM, VRAM: 28.9GB, Context: 32K, Merged, LLM Explorer Score: 0.13, Arc: 62, HellaSwag: 82.2, MMLU: 62.1, GSM8K: 47.5.

Merged Model Arxiv:2203.05482 Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron

Mixtral AI CyberTron Parameters and Internals

Model Type

pre-trained language model

Additional Notes

Created using mergekit with the specified YAML configuration.

Training Details

Methodology:

Merged using linear merge method

LLM Name	Mixtral AI CyberTron
Repository 🤗	https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron
Base Model(s)	LeroyDyer/Mixtral_AI_CyberTron_M4 LeroyDyer/Mixtral_AI_CyberTron_M3 LeroyDyer/Mixtral_AI_CyberTron_M4 LeroyDyer/Mixtral_AI_CyberTron_M3
Merged Model	Yes
Model Size	7.2b
Required VRAM	28.9 GB
Updated	2026-08-04
Maintainer	LeroyDyer
Model Type	mistral
Model Files	4.9 GB: 1-of-3 1.9 GB: 1-of-8 5.0 GB: 2-of-3 2.0 GB: 2-of-8 4.5 GB: 3-of-3 1.9 GB: 3-of-8 2.0 GB: 4-of-8 1.9 GB: 5-of-8 2.0 GB: 6-of-8 1.9 GB: 7-of-8 0.9 GB: 8-of-8
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mixtral AI CyberTron 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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Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/Mixtral_AI_CyberTron.