Llama-3-VNTL-Yollisa-8B-i1-GGUF open-source model - Free to process English and Japanese, focusing on Japanese media and visual novel fields

Llama 3 VNTL Yollisa 8B I1 GGUF

Developed by mradermacher

This is a weighted/matrix quantized version of Casual-Autopsy/Llama-3-VNTL-Yollisa-8B, suitable for English and Japanese processing, specifically targeting Japanese media, otaku media, and visual novels (VNs).

Large Language Model Supports Multiple Languages#Visual novel translation #Japanese media processing #Lightweight quantization

Downloads 116

Release Time : 3/5/2025

Model Overview

This model is an 8B-parameter architecture based on Llama-3, quantized to reduce resource requirements, supporting English and Japanese with a focus on translation and Japanese media content processing.

Model Features

Multilingual support

Supports English and Japanese, particularly suitable for processing Japanese media and otaku culture-related content.

Diverse quantization versions

Offers multiple quantization versions, from extremely low-quality IQ1_S to high-quality Q6_K, catering to different hardware needs.

Focus on visual novels

The model is optimized for the visual novel (VNs) domain, making it ideal for processing related text content.

Model Capabilities

Text generation

Translation

Japanese text processing

English text processing

Use Cases

Media content processing

Visual novel translation

Translate Japanese visual novels into English or vice versa.

Japanese media content generation

Generate or process text content related to Japanese media.

Multilingual applications

Multilingual chatbot

Build a chatbot that supports both English and Japanese.

🚀 Llama-3-VNTL-Yollisa-8B Quantized Model

This project provides weighted/imatrix quants of the Llama-3-VNTL-Yollisa-8B model, with static quants available on Hugging Face.

🚀 Quick Start

The base model is Casual-Autopsy/Llama-3-VNTL-Yollisa-8B. It supports English and Japanese languages and uses the transformers library. The model is quantized by mradermacher.

Property	Details
Base Model	Casual-Autopsy/Llama-3-VNTL-Yollisa-8B
Supported Languages	English, Japanese
Library Name	transformers
Quantized By	mradermacher
Tags	mergekit, merge, translation, japanese_media, otaku_media, visual_novels, VNs

✨ Features

Provides weighted/imatrix quants of the Llama-3-VNTL-Yollisa-8B model.
Static quants are available at huggingface.co/mradermacher/Llama-3-VNTL-Yollisa-8B-GGUF.

📚 Documentation

About

Weighted/imatrix quants of Casual-Autopsy/Llama-3-VNTL-Yollisa-8B.

Static quants are available at huggingface.co/mradermacher/Llama-3-VNTL-Yollisa-8B-GGUF.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	i1-IQ1_S	2.1	for the desperate
GGUF	i1-IQ1_M	2.3	mostly desperate
GGUF	i1-IQ2_XXS	2.5
GGUF	i1-IQ2_XS	2.7
GGUF	i1-IQ2_S	2.9
GGUF	i1-IQ2_M	3.0
GGUF	i1-Q2_K_S	3.1	very low quality
GGUF	i1-Q2_K	3.3	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	3.4	lower quality
GGUF	i1-IQ3_XS	3.6
GGUF	i1-Q3_K_S	3.8	IQ3_XS probably better
GGUF	i1-IQ3_S	3.8	beats Q3_K*
GGUF	i1-IQ3_M	3.9
GGUF	i1-Q3_K_M	4.1	IQ3_S probably better
GGUF	i1-Q3_K_L	4.4	IQ3_M probably better
GGUF	i1-IQ4_XS	4.5
GGUF	i1-Q4_0	4.8	fast, low quality
GGUF	i1-IQ4_NL	4.8	prefer IQ4_XS
GGUF	i1-Q4_K_S	4.8	optimal size/speed/quality
GGUF	i1-Q4_K_M	5.0	fast, recommended
GGUF	i1-Q4_1	5.2
GGUF	i1-Q5_K_S	5.7
GGUF	i1-Q5_K_M	5.8
GGUF	i1-Q6_K	6.7	practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご