What are the hardware requirements for Sensualize Mixtral GGUF?

Sensualize Mixtral GGUF requires approximately 15.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sensualize Mixtral GGUF and how large is it?

Sensualize Mixtral GGUF is developed by TheBloke. 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 Sensualize Mixtral GGUF?

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

Sensualize Mixtral GGUF by TheBloke — VRAM 15.6GB

Name: Sensualize Mixtral GGUF
Author: TheBloke

Sensualize Mixtral GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 15.6GB, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.11.

Base model:quantized:sao10k/se... Base model:sao10k/sensualize-m... Dataset:nobodyexistsontheinter... Gguf Mixtral Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Sensualize-Mixtral-GGUF

Sensualize Mixtral GGUF Parameters and Internals

Model Type

mixtral

Use Cases

Primary Use Cases:

Roleplay-based models, specifically ERP

Limitations:

Finicky with settings

Additional Notes

Trained using 80M tokens over 1 epoch, with ZLoss and Megablocks-based fork of transformers. Experimental and finicky model, recommended to use Universal-Light or Universal-Creative settings in SillyTavern for improved performance.

Training Details

Data Sources:

NobodyExistsOnTheInternet/full120k, My own NSFW Instruct & De-Alignment Data

Data Volume:

80M tokens

Methodology:

Trained on ZLoss and Megablocks-based fork of transformers, using Alpaca format

Training Time:

12 hours on 2xA100s

Hardware Used:

2xA100s

Input Output

Input Format:

### Instruction: {system_message} ### Input: {prompt} ### Response:

LLM Name	Sensualize Mixtral GGUF
Repository 🤗	https://huggingface.co/TheBloke/Sensualize-Mixtral-GGUF
Model Name	Sensualize Mixtral
Model Creator	Saofiq
Base Model(s)	Sensualize Mixtral Bf16 Sao10K/Sensualize-Mixtral-bf16
Required VRAM	15.6 GB
Updated	2026-07-31
Maintainer	TheBloke
Model Type	mixtral
Model Files	15.6 GB 20.4 GB 26.4 GB 26.4 GB 32.2 GB 32.2 GB 38.4 GB 49.6 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	cc-by-nc-4.0

Rank the Sensualize Mixtral 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 Sensualize Mixtral GGUF

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ComicBot V.2 Gguf	32K / 5 GB	54	0
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
Marco O1 GGUF	0K / 3 GB	262	6
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
GOAT Llama3.1 V0.1	0K / 0.2 GB	39	3
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 TheBloke/Sensualize-Mixtral-GGUF.