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

Vigogne 2 13B Instruct GGML requires approximately 5.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Vigogne 2 13B Instruct GGML 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 GGML?

Vigogne 2 13B Instruct GGML 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 GGML by TheBloke — VRAM 5.5GB

Name: Vigogne 2 13B Instruct GGML
Author: TheBloke

Vigogne 2 13B Instruct GGML is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.5GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.08.

Base model:bofenghuang/vigogne... Base model:finetune:bofenghuan... Fr Ggml Instruct Llama Llama2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Vigogne-2-13B-Instruct-GGML

Vigogne 2 13B Instruct GGML Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research, commercial applications

Limitations:

Generates harmful or biased content, Incorrect information, Generally unhelpful answers

Supported Languages

French (High proficiency)

Training Details

Methodology:

Fine-tuned to follow French instructions

Model Architecture:

Llama-2 based

LLM Name	Vigogne 2 13B Instruct GGML
Repository 🤗	https://huggingface.co/TheBloke/Vigogne-2-13B-Instruct-GGML
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	5.5 GB
Updated	2026-05-04
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	5.5 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 8.2 GB 7.9 GB 7.4 GB 9.0 GB 9.8 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
Supported Languages	fr
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	llama2

Rank the Vigogne 2 13B 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 Vigogne 2 13B Instruct GGML

Best Alternatives	Context / RAM	Downloads	Likes
RuGPT 3.5 13B GGML	0K / 7.4 GB	10	8
Speechless Llama2 13B GGML	0K / 5.5 GB	4	2
CodeLlama 13B Instruct GGML	0K / 5.7 GB	11	19
...lama2 13B Orca V2 8K 3166 GGML	0K / 5.7 GB	4	14
...1.0 Uncensored Llama2 13B GGML	0K / 5.5 GB	6	60
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	28	0
Finance LLM 13B GGUF	0K / 4.8 GB	516	21

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