What are the hardware requirements for 30B Epsilon GGUF?

30B Epsilon GGUF requires approximately 13.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed 30B Epsilon GGUF and how large is it?

30B Epsilon GGUF is developed by TheBloke, a model with 30b 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 30B Epsilon GGUF?

30B Epsilon GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

30B Epsilon GGUF by TheBloke — VRAM 13.5GB

Name: 30B Epsilon GGUF
Author: TheBloke

30B Epsilon GGUF is an open-source language model by TheBloke. Features: 30b LLM, VRAM: 13.5GB, License: other, Quantized, LLM Explorer Score: 0.09.

Adventure Alpaca Base model:calderaai/30b-epsil... Base model:quantized:calderaai... Cot Gguf Hippogriff Instruct Llama Manticore Merge Mix Quantized Region:us Roleplay Rp Story Supercot Superhot Uncensored Vicuna Wizardlm

Model Card on HF 🤗: https://huggingface.co/TheBloke/30B-Epsilon-GGUF

30B Epsilon GGUF Parameters and Internals

Model Type

llama

Use Cases

Primary Use Cases:

General purpose, Text-based adventure games, Roleplay scenarios

Additional Notes

GGUF is a format replacement for GGML. 30B Epsilon integrates various models and is particularly tailored for creative and roleplay contexts.

Training Details

Methodology:

This model is the result of an experimental use of LoRAs on language models and model merges. Epsilon is an instruct based general purpose model assembled from hand-picked models and LoRAs.

Model Architecture:

30B-Epsilon = [SuperCOT[SuperHOT-prototype13b-8192[(wizardlmuncensored+((hippogriff+manticore)+(StoryV2))]

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	30B Epsilon GGUF
Repository 🤗	https://huggingface.co/TheBloke/30B-Epsilon-GGUF
Model Name	30B Epsilon
Model Creator	Caldera AI
Base Model(s)	30B Epsilon CalderaAI/30B-Epsilon
Model Size	30b
Required VRAM	13.5 GB
Updated	2026-07-28
Maintainer	TheBloke
Model Type	llama
Model Files	13.5 GB 17.3 GB 15.8 GB 14.1 GB 18.4 GB 19.6 GB 18.4 GB 22.4 GB 23.0 GB 22.4 GB 26.7 GB 34.6 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the 30B Epsilon 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 30B Epsilon GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Yayi2 30B Llama GGUF	0K / 12.9 GB	511	10
...e Llama 30B Instruct 2048 GGUF	0K / 13.5 GB	865	4
VicUnlocked 30B LoRA GGUF	0K / 13.5 GB	547	1
Hippogriff 30B Chat GGUF	0K / 13.5 GB	527	1
LLaMA 30B GGUF	0K / 13.5 GB	395	5
SuperPlatty 30B GGUF	0K / 13.5 GB	368	0
Llama 30B Supercot GGUF	0K / 13.5 GB	269	0
Based 30B GGUF	0K / 13.5 GB	264	2
Platypus 30B GGUF	0K / 13.5 GB	239	1
WizardLM 30B GGUF	0K / 13.5 GB	207	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/30B-Epsilon-GGUF.