What are the hardware requirements for Vigogne 2 7B Instruct GGUF?

Vigogne 2 7B Instruct GGUF requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vigogne 2 7B Instruct GGUF and how large is it?

Vigogne 2 7B Instruct GGUF is developed by TheBloke, 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 Vigogne 2 7B Instruct GGUF?

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

Vigogne 2 7B Instruct GGUF by TheBloke — VRAM 2.8GB

Name: Vigogne 2 7B Instruct GGUF
Author: TheBloke

Vigogne 2 7B Instruct GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

Base model:bofenghuang/vigogne... Base model:quantized:bofenghua... Fr Gguf Instruct Llama Llama2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Vigogne-2-7B-Instruct-GGUF

Vigogne 2 7B Instruct GGUF Parameters and Internals

Model Type

llama, text-generation

Additional Notes

Vigogne-2-7B-Instruct is a model based on LLaMA-2-7B that has been fine-tuned to follow French instructions.

Supported Languages

French (native)

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

Accepted Modalities:

text

LLM Name	Vigogne 2 7B Instruct GGUF
Repository 🤗	https://huggingface.co/TheBloke/Vigogne-2-7B-Instruct-GGUF
Model Name	Vigogne 2 7B Instruct
Model Creator	bofenghuang
Base Model(s)	Vigogne 2 7B Instruct bofenghuang/vigogne-2-7b-instruct
Model Size	7b
Required VRAM	2.8 GB
Updated	2026-07-23
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	2.8 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
Supported Languages	fr
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Vigogne 2 7B 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 Vigogne 2 7B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0
Qwen2 7B Instruct V0.1 GGUF	0K / 4.5 GB	9714	0
Qwen2 7B Instruct V0.7 GGUF	0K / 4.5 GB	9530	0
Qwen2 7B Instruct V0.3 GGUF	0K / 4.5 GB	8911	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Vigogne-2-7B-Instruct-GGUF.