What are the hardware requirements for MythoMax Kimiko Mix GGUF?

MythoMax Kimiko Mix GGUF requires approximately 5.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MythoMax Kimiko Mix GGUF and how large is it?

MythoMax Kimiko Mix 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 MythoMax Kimiko Mix GGUF?

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

MythoMax Kimiko Mix GGUF by TheBloke — VRAM 5.4GB

Name: MythoMax Kimiko Mix GGUF
Author: TheBloke

MythoMax Kimiko Mix GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 5.4GB, License: llama2, Quantized, LLM Explorer Score: 0.09.

Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/MythoMax-Kimiko-Mix-GGUF

MythoMax Kimiko Mix GGUF Parameters and Internals

Model Type

llama

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

LLM Name	MythoMax Kimiko Mix GGUF
Repository 🤗	https://huggingface.co/TheBloke/MythoMax-Kimiko-Mix-GGUF
Model Name	MythoMax Kimiko Mix
Model Creator	taozi555
Base Model(s)	MythoMax Kimiko Mix taozi555/MythoMax-Kimiko-Mix
Required VRAM	5.4 GB
Updated	2026-07-18
Maintainer	TheBloke
Model Type	llama
Model Files	5.4 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 7.9 GB 7.4 GB 9.0 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the MythoMax Kimiko Mix 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

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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/MythoMax-Kimiko-Mix-GGUF.