Skywork-MoE-Base

A high-performance mixed expert (MoE) model with 146 billion parameters

CommonProductProgrammingMixed expert modelLarge scale parameters

Skywork-MoE-Base is a high-performance mixed expert (MoE) model with 146 billion parameters, comprising 16 experts and activating 22 billion parameters. The model is initialized from the dense checkpoint of the Skywork-13B model and introduces two innovative techniques: gated logical normalization enhances expert diversity, and an adaptive auxiliary loss coefficient allows for layer-specific adjustment of the auxiliary loss coefficient. Skywork-MoE exhibits comparable or superior performance to models with more parameters or activation parameters on various popular benchmark tests.

A large-scale mixed expert model with 146 billion parameters
16 experts and 22 billion activated parameters
Introduces two innovative techniques: gated logical normalization and adaptive auxiliary loss coefficient
Outperforms on multiple benchmark tests
Supports Hugging Face model inference
Provides a fast deployment method based on vLLM
Supports local environments and Docker deployment

The Skywork-MoE-Base model is designed for developers and researchers who need to handle large-scale language model inference. Its high performance and innovative technology make it an ideal choice for complex text generation and analysis tasks.

Generate detailed descriptions of the capitals of Chinese provinces
Conduct multi-turn dialogue generation
such as asking consecutive questions about provincial capitals
Rapidly deploy for research and development of new language model applications

Step 1: Install the necessary dependencies
Step 2: Clone the Skywork-provided vllm code repository
Step 3: Compile and install vllm
Step 4: Choose between local environment or Docker deployment as needed
Step 5: Set the model path and working directory

Visit

Skywork-MoE-Base Visit Over Time

Monthly Visits

17788201

Bounce Rate

44.87%

Page per Visit

5.4

Visit Duration

00:05:32

Skywork-MoE-Base Visit Trend

Skywork-MoE-Base Visit Geography

Skywork-MoE-Base Traffic Sources

Skywork-MoE-Base Alternatives

phixtral-2x2_8 — A mixed expert model that outperforms individual expert models.

Productivity•Mixed expert model•Text generation

324

Chat.com — An interactive dialogue AI model offering Q&A and text generation services

InternationalSelection•Dialogue Generation•Natural Language Processing

126

Aquila-VL-2B-llava-qwen — A visual-language model that intelligently processes both image and text information.

Image•Visual Language Model•Multimodal

LLaMA-O1 — A large inference model framework that supports PyTorch and Hugging Face.

Programming•Large Inference Models•Monte Carlo Tree Search

MobileLLM-350M — An efficiently optimized language model with sub-billion parameters, specifically designed for device-side applications.

Programming•Language Model•Transformer

Ferret-UI-Llama8b — A multimodal large language model based on Llama-3-8B, focused on UI tasks.

Programming•Multimodal•Large Language Model

SmolLM2-1.7B — A lightweight language model with 1.7 billion parameters, suitable for diverse tasks.

Programming•Text Generation•Lightweight Model

AI Sentence Generator — Utilizes artificial intelligence technology to automatically generate sentences in various styles and themes.

Writing•Content creation•Writing assistance

132

falcon-mamba-7b — A high-performance causal language model with 7 billion parameters.

Productivity•Causal Language Model•Natural Language Processing

Entropy-based Sampling — Entropy-based sampling technique that optimizes the diversity and accuracy of model outputs

Programming•Machine Learning•Natural Language Processing

AI Sentence Generator — An online tool that utilizes AI technology to generate high-quality sentences

Writing•AI Writing•Natural Language Processing

168

Reverb — Open-source inference code for speech recognition and speaker segmentation models.

Programming•Speech Recognition•Speaker Segmentation

204

gradio-bot — Transform Hugging Face Spaces or Gradio applications into Discord bots.

Programming•Discord•Bot

AMD-Llama-135m — A high-performance language model trained by AMD

Programming•Language model•Text generation

Daily AI Writer — An AI-driven writing assistant that rapidly generates a variety of text content.

Writing•AI Writing•Multilingual Support

126

Flux.1-dev Controlnet Upscaler — An image upscaling model based on Hugging Face.

Image•Image Upscaling•Deep Learning

144

Llama-3.2-1B — Multilingual large language model

Productivity•Multilingual•Text Generation

120

Pixtral-12B-2409 — A multimodal model with 12 billion parameters, integrating a visual encoder for image and text processing.

Productivity•Multimodal•Image Processing

MiniMax — Leading a new trend in AI video, music, and text creation

ChineseSelection•AI Creation•Video Generation

744

XVERSE-MoE-A36B — A large multilingual language model that supports text generation across various fields.

Programming•Multilingual•Large Language Model

DataGemma RIG — A text model designed for retrieving and generating content that integrates statistical data.

Others•Text Generation•Natural Language Processing

reader-lm-1.5b — An AI model for converting HTML content to Markdown

Productivity•Text Generation•Content Conversion

Best AI Websites & Tools