Aphrodite Engine

PygmalionAI's large-scale inference engine

CommonProductProgrammingLarge-scale inferenceLanguage models

Aphrodite is the official backend engine of PygmalionAI, aimed at providing inference endpoints for the PygmalionAI website, enabling fast model serving for a large number of users. It utilizes vLLM's paginated attention technology, achieving features such as continuous batching, efficient key-value management, and optimized CUDA kernels, while supporting various quantization schemes to boost inference performance.

Continuous batching to improve model inference efficiency
Optimized key-value management using vLLM's paginated attention technology
CUDA kernels optimized for different GPUs to enhance inference speed
Support for various quantization schemes such as AQLM
AWQ
etc.
for compatibility with different hardware
Distributed inference capabilities to handle large-scale user access
Multiple sampling methods available
including Mirostat and Locally Typical Sampling

\The Aphrodite Engine is designed for developers and enterprises that require large-scale deployment and execution of language model inference
particularly those looking for high-performance and efficient model inference solutions.\

As the backend inference engine for the PygmalionAI website
it provides fast response chatbot services.
Used in the research field for large-scale language model experiments and inference tasks.
Enterprise-level applications providing support for intelligent customer service systems requiring high concurrent access.

1. Install the Aphrodite Engine via pip or build from source.
2. Configure environment variables and parameters as needed.
3. Start the model to create an OpenAI-compatible API server.
4. Integrate with UI (like SillyTavern) via API for model inference.
5. Adjust and optimize engine configuration following detailed instructions provided on the wiki page.

Visit

Aphrodite Engine Visit Over Time

Monthly Visits

499904316

Bounce Rate

37.31%

Page per Visit

5.8

Visit Duration

00:06:52

Aphrodite Engine Visit Trend

Aphrodite Engine Visit Geography

Aphrodite Engine Traffic Sources

Aphrodite Engine Alternatives

Stability AI — Unlocking human potential through generative AI.

rStar — Enhances problem-solving capabilities of small language models through self-play mutual reasoning.

Programming•Machine Learning•Natural Language Processing

Turtle Benchmark — Evaluating the logical reasoning and context comprehension abilities of large language models.

Programming•Benchmarking•Logical Reasoning

Qwen2-Math — A next-generation mathematical model focused on solving complex mathematical problems.

Productivity•Mathematical Models•Language Models

480

redcache-ai — A dynamic memory framework that supports large language models and agents.

Programming•memory framework•language models

llm-colosseum — Evaluate large language models through Street Fighter 3 battles.

Programming•Artificial Intelligence•Benchmarking

MoA — Mixture of Agents technology for enhancing large language model performance

Programming•Language Models•Performance Enhancement

174

YaFSDP — An efficient distributed data parallelism framework designed for large language models.

Programming•Distributed Computing•Data Parallelism

120

HippoRAG — A novel RAG framework inspired by human long-term memory

Programming•Natural Language Processing•Knowledge Integration

174

LLM Comparator — Compares the output of various large language models (LLMs)

Productivity•Artificial Intelligence•Language Models

300

EasyContext — EasyContext demonstrates how to leverage existing technologies to train language models with 700K and 1M context lengths.

Programming•Language Models•Context Length

114

ragobble — Transforms audio into LLM data.

Productivity•Audio to Text•Artificial Intelligence

222

LaVi-Bridge — Connects different language models and generative visual models for text-to-image generation

Image•Text-to-Image Generation•Language Models

588

KarpathyLLMChallenge — Deep dive into the tokenization process within language models

Education•Language Models•Tokenization

LLMs-from-scratch — Deep dive into the inner workings of large language models.

Programming•Language Models•Deep Learning

216

Meta-Prompting — Meta-Prompting technology for improving language model performance

Productivity•Language Models•Artificial Intelligence

ASPIRE — A framework to enhance the selective prediction capability of large language models

Productivity•Artificial Intelligence•Natural Language Processing

Patchscope — Unified framework for probing hidden representations in language models

Programming•Language Models•Interpretability

GEO — Content optimization through GEO enhances creators' visibility in next-generation search engines

Others•Search Optimization•Content Optimization

144

Astraios — Parameter-efficient Fine-tuning for Large Language Models

Productivity•Language Models•Fine-tuning

BafCloud — An integrated cloud platform for rapid AI application development and management.

Productivity•AI Development•Cloud Platform

KraspAI Kompass — Quickly compare top language models without coding.

Productivity•language models•comparison

everyprompt.com — A playground for GPT-3

Programming•GPT-3•Playground

GPTRouter — Efficiently manages multiple language models, accelerates response times, and ensures zero downtime

Programming•OpenAI•Azure

216

Best AI Websites & Tools