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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.
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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
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