What are the hardware requirements for Upstage Llama1 65B Instruct GGUF?

Upstage Llama1 65B Instruct GGUF requires approximately 27 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Upstage Llama1 65B Instruct GGUF and how large is it?

Upstage Llama1 65B Instruct GGUF is developed by TheBloke, a model with 65b 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 Llama1 65B Instruct GGUF?

Upstage Llama1 65B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Upstage Llama1 65B Instruct GGUF by TheBloke — VRAM 27GB

Name: Upstage Llama1 65B Instruct GGUF
Author: TheBloke

Upstage Llama1 65B Instruct GGUF is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 27GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

Base model:quantized:upstage/l... Base model:upstage/llama-65b-i... En Gguf Instruct Instruction Llama Quantized Region:us Upstage

Model Card on HF 🤗: https://huggingface.co/TheBloke/Upstage-Llama1-65B-Instruct-GGUF

Upstage Llama1 65B Instruct GGUF Parameters and Internals

Model Type

llama, instruction, text-generation

Additional Notes

For further details or support, users are encouraged to contact Upstage or join TheBloke AI's Discord server.

Supported Languages

en (proficient)

Training Details

Data Sources:

Orca-style dataset

Methodology:

fine-tuned using a combination of DeepSpeed and HuggingFace Trainer

Context Length:

1024

Hardware Used:

A100x8*4

Model Architecture:

LLaMA

Input Output

Input Format:

### System: {system_message} ### User: {prompt} ### Assistant:

Accepted Modalities:

text

Performance Tips:

Optimized for longer inputs with the rope_scaling option.

LLM Name	Upstage Llama1 65B Instruct GGUF
Repository 🤗	https://huggingface.co/TheBloke/Upstage-Llama1-65B-Instruct-GGUF
Model Name	Llama 65B Instruct
Model Creator	upstage
Base Model(s)	Llama 65B Instruct upstage/llama-65b-instruct
Model Size	65b
Required VRAM	27 GB
Updated	2026-07-31
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	27.0 GB 34.6 GB 31.6 GB 28.2 GB 36.8 GB 39.3 GB 36.9 GB 44.9 GB 46.2 GB 44.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Upstage Llama1 65B Instruct 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 Llama1 65B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...en Instruct Human Mix 65B GGUF	0K / 27 GB	287	1
...stage Llama1 65B Instruct GGML	0K / 27.5 GB	10	5

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Upstage-Llama1-65B-Instruct-GGUF.