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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The LFM-40B strikes an innovative equilibrium between the dimensions of the model and the caliber of its outputs. Utilizing 12 billion activated parameters, it delivers performance that rivals that of larger models. Furthermore, its mixture of experts (MoE) architecture enhances throughput efficiency, making it suitable for deployment on budget-friendly hardware. This combination of features allows for impressive results without necessitating excessive resources.

Description

Qwen3.8-Flash-Next represents an open-weight multimodal Mixture-of-Experts architecture and serves as an initial glimpse into the design intended for Qwen4. This model strategically enhances attention mechanisms, residual pathways, embeddings, and optimization techniques to boost its capabilities, improve computational efficiency, expand model capacity, and ensure training stability. Its innovative hybrid architecture merges Gated DeltaNet, which adeptly compresses past information, with Qwen Sparse Attention, enabling the selection of significant context at a micro-block level to lessen both attention and indexing costs associated with lengthy sequences. The Gated Residual feature broadens the residual pathway into four streams, dynamically managing the flow of information across different layers. Additionally, the N-gram Embedding integrates large-scale local-pattern memory with minimal added computation per token, and it can be transferred to host memory for further efficiency. The model is structured around a 125B-parameter main network supplemented by 51B parameters dedicated to N-gram embeddings, activating only 6B parameters for each token processed. This sophisticated framework highlights the ongoing advancements in machine learning architectures, setting a promising stage for future developments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
Cline
Happy Shrimp 1.0
Hermes Agent
Hugging Face
Liquid AI
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen Code
Qwen Studio
QwenCloud
QwenWork

Integrations

Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
Cline
Happy Shrimp 1.0
Hermes Agent
Hugging Face
Liquid AI
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen Code
Qwen Studio
QwenCloud
QwenWork

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$2 per 1M (input)
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Liquid AI

Country

United States

Website

www.liquid.ai/liquid-foundation-models

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

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