SakuraLLM/SakuraLLM

Features

• LLM Inference Servers - Hosts large language models behind an OpenAI-compatible API with multi-GPU support and multiple backend engines.
• OpenAI-Compatible APIs - Exposes the translation model through an OpenAI-format API for integration with any OpenAI-compatible client.
• EPUB and Subtitle Translation - Processes Japanese ebooks and subtitle files through an inference server while maintaining structural integrity.
• Format-Preserving Pipelines - Extracts, translates, and reassembles text from EPUBs and subtitles while retaining timestamps, line breaks, and markup.
• Subtitle Translation - Converts subtitle files via language model inference while preserving timestamps and formatting.
• Japanese Text Translation - Provides a specialized pipeline for translating Japanese text using large language models while preserving formatting and timestamps.
• Japanese Text Translations - Translates Japanese text into Chinese using a large language model, preserving formatting and timestamps.
• Multi-Format Document Translators - Translates Japanese ebooks, subtitles, and visual novel scripts while preserving original formatting and timestamps.
• Large Language Model Serving - Hosts a large language model behind an HTTP API so clients can send text and receive translated output.
• Translation Servers - Hosts large language models for translating Japanese text into other languages via a standardized API.
• EPUB Translation Pipelines - Processes EPUB files through a translation pipeline that extracts, translates, and reassembles content while maintaining structure.
• Terminology-Aware Translation - Uses a glossary to keep proper nouns and character names consistent across translations.
• Translation Servers - Starts a Docker-based inference server with authentication that accepts translation requests via HTTP.
• Translation Term Mapping - Accepts a user-provided term dictionary to enforce consistent translation of specific names and phrases.
• Translation - Applies a user-defined glossary to maintain consistent translation of proper nouns and pronouns.
• Translation API Endpoints - Serves a standardized API endpoint that other translation tools can call to use the model.
• Translation API Hosting - Loads a large language model and exposes it over an API so other tools can send text for translation.
• Ollama Model Runners - Loads models from the Ollama library using Docker for simplified installation and management.
• Ollama Model Servers - Pulls and runs models from the Ollama library, managing them with Docker for simplified deployment.
• Multi-Backend GPU Inference Engines - Supports llama.cpp, vLLM, and Ollama backends for flexible deployment across CPU and GPU hardware.
• Manga Translation Pipelines - Translates Japanese manga into Chinese, preserving the original image layout and text placement.
• CPU-GPU Hybrid Runtimes - Enables translation on consumer hardware by offloading model parts to CPU when GPU memory is insufficient.
• vLLM Backend Runners - Loads full-precision models using the vLLM backend with PagedAttention and tensor parallel multi-GPU acceleration.
• Game Script Translations - Integrates with Galgame translation tools to provide real-time or offline translation of game dialogue and text.
• Visual Novel Script Translators - Translates visual novel and galgame scripts while preserving inline formatting, control characters, and ruby annotations.
• Tensor Parallelism - Splits model computation across multiple GPUs using tensor parallelism to accelerate inference and handle larger models.
• Galgame Translators - Integrates with galgame translation tools to provide real-time or offline translation of game dialogue.
• Ebook Translation Pipelines - Processes ebook content by extracting text, translating it, and reassembling the result while preserving the original structure.
• Segmented Processing Pipelines - Divides long documents into manageable segments for translation, then reassembles them with original formatting intact.
• Consumer GPU Optimizations - Runs the translation model on NVIDIA and AMD GPUs with CPU-GPU hybrid inference for lower-memory setups.
• llama.cpp Backend Runners - Loads quantized GGUF models using the llama.cpp backend for efficient CPU and GPU inference.
• RPG Servers - Supports RPG game translation through integration with batch translation tools for RPGMaker.
• RPG Game Text Translators - Integrates with RPG translation tools to automatically translate in-game text for RPG Maker engines.
• Visual Novel Script Translators - Translates visual novel scripts while preserving inline line breaks, control characters, and ruby annotations.
• Document Format Preservations - Keeps original line breaks, timestamps, and markup intact when translating subtitles or ebooks.
• Light Novel Translators - Processes e-book files and web novel content to produce machine-translated Chinese versions while maintaining formatting.
• Novel Translators - Reads a plain-text novel file, splits it into segments, and sends each segment to a language model for translation.
• Visual Novel Script Translations - Processes visual novel scripts, preserving inline line breaks, control characters, and ruby annotations.
• llama.cpp Backend Servers - Loads quantized GGUF models and runs them on GPU with the llama.cpp backend for efficient inference serving.
• vLLM Backend Servers - Loads full-precision models and distributes inference across multiple GPUs using tensor parallelism for faster throughput.
• Subtitle Translation Utilities - Converts subtitle files via language model inference while preserving timestamps and formatting for media localization.

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