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

Vigogne 2 13B Instruct GPTQ requires approximately 7.3 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 Vigogne 2 13B Instruct GPTQ and how large is it?

Vigogne 2 13B Instruct GPTQ 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 GPTQ?

Vigogne 2 13B Instruct GPTQ 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 GPTQ by TheBloke — VRAM 7.3GB, 4K context

Name: Vigogne 2 13B Instruct GPTQ
Author: TheBloke

Vigogne 2 13B Instruct GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.08.

4-bit Base model:bofenghuang/vigogne... Base model:quantized:bofenghua... Fr Gptq Instruct Llama Llama2 Quantized Region:us Safetensors

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

Vigogne 2 13B Instruct GPTQ Parameters and Internals

Model Type

llama, LLM, text-generation

Input Output

Input Format:

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

LLM Name	Vigogne 2 13B Instruct GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Vigogne-2-13B-Instruct-GPTQ
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	7.3 GB
Updated	2026-06-27
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	7.3 GB
Supported Languages	fr
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Vigogne 2 13B Instruct GPTQ 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 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven 13B GPTQ	16K / 7.3 GB	35	7
CodeLlama 13B Instruct GPTQ	16K / 7.3 GB	75	39
Leo Hessianai 13B Chat GPTQ	8K / 7.3 GB	47	1
...sianai 13B Chat Bilingual GPTQ	8K / 7.3 GB	2	4
...lama2 13B Orca V2 8K 3166 GPTQ	8K / 7.3 GB	48	24
Mythalion 13B GPTQ	4K / 7.3 GB	2005	52
Swallow 13B Instruct GPTQ	4K / 7.5 GB	6	2
...2 13B Ft Instruct Es Gptq 3bit	4K / 5.7 GB	6	3
Pygmalion 2 13B GPTQ	4K / 7.3 GB	35	41
LoKuS 13B GPTQ	4K / 7.3 GB	71	2

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