What are the hardware requirements for Llama 2 70B Guanaco QLoRA GGUF?

Llama 2 70B Guanaco QLoRA 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 Llama 2 70B Guanaco QLoRA GGUF and how large is it?

Llama 2 70B Guanaco QLoRA GGUF is developed by nitsuai, 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 Llama 2 70B Guanaco QLoRA GGUF?

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

Llama 2 70B Guanaco QLoRA GGUF by nitsuai — VRAM 29.3GB

Name: Llama 2 70B Guanaco QLoRA GGUF
Author: nitsuai

Llama 2 70B Guanaco QLoRA GGUF is an open-source language model by nitsuai. Features: 70b LLM, VRAM: 29.3GB, License: other, Quantized, LLM Explorer Score: 0.12.

Base model:mikael110/llama-2-7... Base model:quantized:mikael110... En Gguf Llama Llama2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/nitsuai/llama-2-70b-Guanaco-QLoRA-GGUF

Llama 2 70B Guanaco QLoRA GGUF Parameters and Internals

Model Type

text-classification

Additional Notes

The model uses the GGUF format, which is no longer supported by llama.cpp but offers numerous advantages over GGML.

Input Output

Input Format:

Guanaco

LLM Name	Llama 2 70B Guanaco QLoRA GGUF
Repository 🤗	https://huggingface.co/nitsuai/llama-2-70b-Guanaco-QLoRA-GGUF
Model Name	Llama2 70B Guanaco QLoRA
Model Creator	Mikael110
Base Model(s)	Llama 2 70B Guanaco Qlora Mikael110/llama-2-70b-guanaco-qlora
Model Size	70b
Required VRAM	29.3 GB
Updated	2026-07-03
Maintainer	nitsuai
Model Type	llama
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	other

Rank the Llama 2 70B Guanaco QLoRA 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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...us Qwen3 R1 Llama Distill GGUF	0K / 0.8 GB	63	2
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Meta Llama 3 70B Instruct GGUF	0K / 26.4 GB	133	4
DAD Model V2 70B Q4	0K / 42.5 GB	13	0
CodeLlama 70B Hf GGUF	0K / 25.5 GB	618	42
Swallow 70B Instruct GGUF	0K / 29.4 GB	1495	9
Llama 2 70B Chat GGUF	0K / 29.3 GB	3619	122

Note: green Score (e.g. "73.2") means that the model is better than nitsuai/llama-2-70b-Guanaco-QLoRA-GGUF.