Llama-3-VNTL-Yollisa-8B-GGUF Open Source Model - Free Translation and Processing of Otaku Content like Visual Novels

Llama 3 VNTL Yollisa 8B GGUF

Developed by mradermacher

This is an 8B parameter model based on the Llama-3 architecture, specializing in translation and processing of visual novels and Japanese otaku media content.

Large Language Model Supports Multiple Languages#Visual novel translation #Japanese-English bilingual #Lightweight model

Downloads 53

Release Time : 3/5/2025

Model Overview

This model is a variant of Llama-3, specifically optimized for visual novels (VN) and Japanese otaku media content, supporting English and Japanese processing.

Model Features

Visual novel optimization

Specifically trained and optimized for visual novel content

Bilingual support

Supports English and Japanese processing

Multiple quantization versions

Offers various quantization versions from Q2_K to f16 to meet different needs

Efficient inference

Quantized versions optimize inference speed and resource usage

Model Capabilities

Text generation

Japanese-English translation

Visual novel content processing

Japanese media content analysis

Use Cases

Translation

Visual novel translation

Translate Japanese visual novel content into English

Content generation

Visual novel content creation

Generate text content that matches the style of visual novels

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

This project offers static quantizations of the Llama-3-VNTL-Yollisa-8B model, with various quantized versions available for different usage scenarios.

🚀 Quick Start

If you are interested in using these quantized models, you can refer to the following sections for details.

✨ Features

Multiple Languages Support: Supports English and Japanese.
Quantized by mradermacher: Ensures high - quality quantization.
Diverse Tags: Covers mergekit, merge, translation, and more related to Japanese media and visual novels.

📦 Installation

Since the installation mainly involves using GGUF files, 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.

📚 Documentation

About

Static quants of https://huggingface.co/Casual-Autopsy/Llama-3-VNTL-Yollisa-8B. Weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3-VNTL-Yollisa-8B-i1-GGUF

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	Q2_K	3.3
GGUF	Q3_K_S	3.8
GGUF	Q3_K_M	4.1	lower quality
GGUF	Q3_K_L	4.4
GGUF	IQ4_XS	4.6
GGUF	Q4_K_S	4.8	fast, recommended
GGUF	Q4_K_M	5.0	fast, recommended
GGUF	Q5_K_S	5.7
GGUF	Q5_K_M	5.8
GGUF	Q6_K	6.7	very good quality
GGUF	Q8_0	8.6	fast, best quality
GGUF	f16	16.2	16 bpw, overkill

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: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://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.

📄 License

No license information provided in the original document.

📦 Model Information

Property	Details
Model Type	Static quants of Llama - 3 - VNTL - Yollisa - 8B
Training Data	Not provided
Library Name	transformers
Quantized By	mradermacher
Tags	mergekit, merge, translation, japanese_media, otaku_media, visual_novels, VNs
Base Model	Casual - Autopsy/Llama - 3 - VNTL - Yollisa - 8B
Supported Languages	English, Japanese

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