What are the hardware requirements for MythoMax Kimiko Mix AWQ?

MythoMax Kimiko Mix AWQ requires approximately 7.2 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

MythoMax Kimiko Mix AWQ is developed by TheBloke, a model with 13b parameters. 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 AWQ?

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

MythoMax Kimiko Mix AWQ by TheBloke — VRAM 7.2GB, 4K context

Name: MythoMax Kimiko Mix AWQ
Author: TheBloke

MythoMax Kimiko Mix AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.09.

4-bit Awq Llama Quantized Region:us Safetensors

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

MythoMax Kimiko Mix AWQ 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 AWQ
Repository 🤗	https://huggingface.co/TheBloke/MythoMax-Kimiko-Mix-AWQ
Model Name	MythoMax Kimiko Mix
Model Creator	taozi555
Base Model(s)	MythoMax Kimiko Mix taozi555/MythoMax-Kimiko-Mix
Model Size	13b
Required VRAM	7.2 GB
Updated	2026-08-05
Maintainer	TheBloke
Model Type	llama
Model Files	7.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.33.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	float16

Rank the MythoMax Kimiko Mix AWQ capabilities

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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 MythoMax Kimiko Mix AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Yarn Llama 2 13B 128K AWQ	128K / 7.2 GB	4	2
LongAlign 13B 64K AWQ	64K / 7.2 GB	4	2
...oboros L2 13B 2 1 YaRN 64K AWQ	64K / 7.2 GB	5	2
OrcaMaid V3 13B 32K AWQ	32K / 7.2 GB	5	4
OrcaMaid V2 FIX 13B 32K AWQ	32K / 7.2 GB	7	1
NexusRaven V2 13B AWQ	16K / 7.2 GB	11	3
NexusRaven V2 13B AWQ	16K / 7.2 GB	1	3
...th CodeLlama 13B Python Hf AWQ	16K / 7.5 GB	6	0
WhiteRabbitNeo 13B AWQ	16K / 7.2 GB	332	4
NexusRaven V2 13B AWQ	16K / 7.2 GB	10	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MythoMax-Kimiko-Mix-AWQ.