What are the hardware requirements for Upstage Llama 2 70B Instruct V2 GGUF?

Upstage Llama 2 70B Instruct V2 GGUF requires approximately 29.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Upstage Llama 2 70B Instruct V2 GGUF and how large is it?

Upstage Llama 2 70B Instruct V2 GGUF is developed by TheBloke, a model with 70b 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 2 70B Instruct V2 GGUF?

Upstage Llama 2 70B Instruct V2 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Upstage Llama 2 70B Instruct V2 GGUF by TheBloke — VRAM 29.3GB

Name: Upstage Llama 2 70B Instruct V2 GGUF
Author: TheBloke

Upstage Llama 2 70B Instruct V2 GGUF is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 29.3GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

Base model:quantized:upstage/s... Base model:upstage/solar-0-70b... En Gguf Instruct Instruction Llama Llama2 Quantized Region:us Upstage

Model Card on HF 🤗: https://huggingface.co/TheBloke/Upstage-Llama-2-70B-instruct-v2-GGUF

Upstage Llama 2 70B Instruct V2 GGUF Parameters and Internals

Model Type

llama

Use Cases

Areas:

research, commercial applications

Additional Notes

The model can handle more than 10k input tokens due to `rope_scaling` feature.

Supported Languages

English (proficient)

Training Details

Data Sources:

Orca-style dataset, Alpaca-style dataset

Context Length:

10000

Hardware Used:

A100x8 * 4

Model Architecture:

LLaMA-2

Input Output

Input Format:

"### User:\n{prompt}\n\n### Assistant:\n"

Accepted Modalities:

text

LLM Name	Upstage Llama 2 70B Instruct V2 GGUF
Repository 🤗	https://huggingface.co/TheBloke/Upstage-Llama-2-70B-instruct-v2-GGUF
Model Name	Llama 2 70B Instruct v2
Model Creator	Upstage
Base Model(s)	upstage/Llama-2-70b-instruct-v2 upstage/Llama-2-70b-instruct-v2
Model Size	70b
Required VRAM	29.3 GB
Updated	2026-08-07
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	29.3 GB 36.1 GB 33.2 GB 29.9 GB 38.9 GB 41.4 GB 39.1 GB 47.5 GB 48.8 GB 47.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Upstage Llama 2 70B Instruct V2 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 Upstage Llama 2 70B Instruct V2 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 70B Instruct GGUF	0K / 25.5 GB	1375	64
Meta Llama 3 70B Instruct GGUF	0K / 26.4 GB	133	4
DAD Model V2 70B Q4	0K / 42.5 GB	13	0
Swallow 70B Instruct GGUF	0K / 29.4 GB	1495	9
Leo Hessianai 70B Chat GGUF	0K / 29.3 GB	617	1
...tablelm Instruct Beta 70B GGUF	0K / 29.3 GB	1334	12
Dolphin 2.2 70B GGUF	0K / 29.3 GB	732	17
Llama 2 70B Orca 200K GGUF	0K / 29.3 GB	901	22
Platypus2 70B Instruct GGUF	0K / 29.3 GB	505	10
... Distil Llama 3.3 70B Instruct	0K / 0.8 GB	9	3

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Upstage-Llama-2-70B-instruct-v2-GGUF.