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

Upstage Llama1 65B Instruct GGML requires approximately 27.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Upstage Llama1 65B Instruct GGML 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 GGML?

Upstage Llama1 65B Instruct GGML 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 GGML by TheBloke — VRAM 27.5GB

Name: Upstage Llama1 65B Instruct GGML
Author: TheBloke

Upstage Llama1 65B Instruct GGML is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 27.5GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.07.

Dataset:gair/lima Dataset:metaeval/scienceqa tex... Dataset:open-orca/openorca Dataset:openbookqa Dataset:sciq En Ggml Instruct Instruction Llama Quantized Region:us Upstage

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

Upstage Llama1 65B Instruct GGML Parameters and Internals

Model Type

llama, instruct, instruction

Additional Notes

Email contact option available for inquiries at contact@upstage.ai.

LLM Name	Upstage Llama1 65B Instruct GGML
Repository 🤗	https://huggingface.co/TheBloke/Upstage-Llama1-65B-Instruct-GGML
Model Size	65b
Required VRAM	27.5 GB
Updated	2026-07-23
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	27.5 GB 34.6 GB 31.5 GB 28.2 GB 36.7 GB 40.8 GB 39.3 GB 36.8 GB 44.9 GB 49.0 GB 46.2 GB 44.9 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	other

Rank the Upstage Llama1 65B Instruct 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 Llama1 65B Instruct GGML

Best Alternatives	Context / RAM	Downloads	Likes
...en Instruct Human Mix 65B GGUF	0K / 27 GB	287	1
...stage Llama1 65B Instruct GGUF	0K / 27 GB	1110	1

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