What are the hardware requirements for Vigogne 2 13B Instruct GGUF?

Vigogne 2 13B Instruct GGUF requires approximately 5.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vigogne 2 13B Instruct GGUF and how large is it?

Vigogne 2 13B Instruct GGUF is developed by TheBloke, a model with 13b 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 13B Instruct GGUF?

Vigogne 2 13B 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 13B Instruct GGUF by TheBloke — VRAM 5.4GB

Name: Vigogne 2 13B Instruct GGUF
Author: TheBloke

Vigogne 2 13B Instruct GGUF is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.4GB, 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-2-13B-Instruct-GGUF

Vigogne 2 13B Instruct GGUF Parameters and Internals

Model Type

text-generation, instruction-following

Additional Notes

TheBloke's LLM work is supported by a grant from andreessen horowitz (a16z)

Supported Languages

French (high)

Training Details

Methodology:

fine-tuning

Hardware Used:

auto

Model Architecture:

LLaMA-2 based

Input Output

Input Format:

Generates based on French instructions

Accepted Modalities:

text

Output Format:

text

Release Notes

Version:

Q2_K

Notes:

Significant quality loss

LLM Name	Vigogne 2 13B Instruct GGUF
Repository 🤗	https://huggingface.co/TheBloke/Vigogne-2-13B-Instruct-GGUF
Model Name	Vigogne 2 13B Instruct
Model Creator	bofenghuang
Base Model(s)	Vigogne 2 13B Instruct bofenghuang/vigogne-2-13b-instruct
Model Size	13b
Required VRAM	5.4 GB
Updated	2026-08-07
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	5.4 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 7.9 GB 7.4 GB 9.0 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
Supported Languages	fr
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Vigogne 2 13B 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 13B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3 13B Instruct V0.1 GGUF	0K / 5.1 GB	1940	5
...aMa 3 Instruct Zeroed 13B GGUF	0K / 5 GB	42	1
Codellama 7B Instruct GGUF	0K / 2.8 GB	166	1
Codellama 13B Instruct GGUF	0K / 13.8 GB	25	0
Finance LLM 13B GGUF	0K / 4.8 GB	516	21
CodeLlama 13B Instruct GGUF	0K / 5.4 GB	3987	132
Law LLM 13B GGUF	0K / 5.4 GB	463	10
Medicine LLM 13B GGUF	0K / 5.4 GB	319	17
Swallow 13B Instruct GGUF	0K / 5.5 GB	360	5
Mythalion 13B GGUF	0K / 5.4 GB	1567	70

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Vigogne-2-13B-Instruct-GGUF.