What are the hardware requirements for Llama 2 7B Guanaco?

Llama 2 7B Guanaco requires approximately 13.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 7B Guanaco and how large is it?

Llama 2 7B Guanaco is developed by mlabonne, a model with 7b 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 7B Guanaco?

Llama 2 7B Guanaco is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B Guanaco by mlabonne — VRAM 13.5GB, 4K context

Name: Llama 2 7B Guanaco
Author: mlabonne

Llama 2 7B Guanaco is an open-source language model by mlabonne. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.08.

Dataset:timdettmers/openassist... Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlabonne/llama-2-7b-guanaco

Llama 2 7B Guanaco Parameters and Internals

Model Type

text-generation

Use Cases

Applications:

chatbots, language translation, content generation

Primary Use Cases:

Translation, Summarization, Sentiment Analysis, Text classification, Generative writing, Conversational language generation

Training Details

Data Sources:

timdettmers/openassistant-guanaco

Methodology:

fine-tuned using QLoRA (4-bit precision)

Hardware Used:

T4 GPU

Model Architecture:

llama-2-7b-chat-hf

Input Output

Input Format:

Instructions format with [INST] and [/INST] tags

Accepted Modalities:

text

Output Format:

text generation

LLM Name	Llama 2 7B Guanaco
Repository 🤗	https://huggingface.co/mlabonne/llama-2-7b-guanaco
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-27
Maintainer	mlabonne
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Llama 2 7B Guanaco 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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124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
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118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/llama-2-7b-guanaco.