What are the hardware requirements for Upstage Llama 30B Instruct 2048 GGML?

Upstage Llama 30B Instruct 2048 GGML requires approximately 13.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Upstage Llama 30B Instruct 2048 GGML and how large is it?

Upstage Llama 30B Instruct 2048 GGML 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 Upstage Llama 30B Instruct 2048 GGML?

Upstage Llama 30B Instruct 2048 GGML is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Upstage Llama 30B Instruct 2048 GGML by TheBloke — VRAM 13.7GB

Name: Upstage Llama 30B Instruct 2048 GGML
Author: TheBloke

Upstage Llama 30B Instruct 2048 GGML is an open-source language model by TheBloke. Features: 30b LLM, VRAM: 13.7GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.08.

En Ggml Instruct Instruction Llama Quantized Region:us Upstage

Model Card on HF 🤗: https://huggingface.co/TheBloke/upstage-llama-30b-instruct-2048-GGML

Upstage Llama 30B Instruct 2048 GGML Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, instruction following

Applications:

storytelling

Primary Use Cases:

instruction following, text generation

Limitations:

not suitable for commercial use without access

Supported Languages

English (Fluent)

Training Details

Data Sources:

openbookqa, sciq, Open-Orca/OpenOrca, metaeval/ScienceQA_text_only, GAIR/lima

Context Length:

2048

Hardware Used:

A100 GPU

Model Architecture:

LLaMA based

Input Output

Input Format:

Textual

Accepted Modalities:

text

Output Format:

Textual

Performance Tips:

Offload layers to GPU to reduce RAM usage

Release Notes

Version:

Notes:

Initial release

LLM Name	Upstage Llama 30B Instruct 2048 GGML
Repository 🤗	https://huggingface.co/TheBloke/upstage-llama-30b-instruct-2048-GGML
Model Size	30b
Required VRAM	13.7 GB
Updated	2026-07-19
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	13.7 GB 17.3 GB 15.7 GB 14.1 GB 18.3 GB 20.3 GB 19.6 GB 18.4 GB 22.4 GB 24.4 GB 23.0 GB 22.4 GB 26.7 GB 34.6 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	other

Rank the Upstage Llama 30B Instruct 2048 GGML 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 Upstage Llama 30B Instruct 2048 GGML

Best Alternatives	Context / RAM	Downloads	Likes
Mpt 30B Chat GGML	0K / 16.9 GB	6	73
Mpt 30B Instruct GGML	0K / 16.9 GB	7	43
...e Llama 30B Instruct 2048 GGUF	0K / 13.5 GB	865	4
WizardLM 30B Uncensored GGUF	0K / 13.5 GB	1910	18

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/upstage-llama-30b-instruct-2048-GGML.