What are the hardware requirements for Llama 30B Supercot GGUF?

Llama 30B Supercot 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 Llama 30B Supercot GGUF and how large is it?

Llama 30B Supercot 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 Llama 30B Supercot GGUF?

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

Llama 30B Supercot GGUF by TheBloke — VRAM 13.5GB

Name: Llama 30B Supercot GGUF
Author: TheBloke

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

Base model:ausboss/llama-30b-s... Base model:quantized:ausboss/l... Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/llama-30b-supercot-GGUF

Llama 30B Supercot GGUF Parameters and Internals

Model Type

llama

Additional Notes

Merge of huggyllama/llama-30b + kaiokendev/SuperCOT-LoRA. Supercot was trained to work with LangChain prompting.

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	Llama 30B Supercot GGUF
Repository 🤗	https://huggingface.co/TheBloke/llama-30b-supercot-GGUF
Model Name	Llama 30B Supercot
Model Creator	ausboss
Base Model(s)	Llama 30B Supercot ausboss/llama-30b-supercot
Model Size	30b
Required VRAM	13.5 GB
Updated	2026-07-29
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 Llama 30B Supercot 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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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
Based 30B GGUF	0K / 13.5 GB	264	2
30B Epsilon GGUF	0K / 13.5 GB	249	4
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/llama-30b-supercot-GGUF.