Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
This repository showcases an implementation of model parallel autoregressive transformers utilizing GPUs, leveraging the capabilities of the DeepSpeed library. It serves as a record of EleutherAI's framework designed for training extensive language models on GPU architecture. Currently, it builds upon NVIDIA's Megatron Language Model, enhanced with advanced techniques from DeepSpeed alongside innovative optimizations. Our goal is to create a centralized hub for aggregating methodologies related to the training of large-scale autoregressive language models, thereby fostering accelerated research and development in the field of large-scale training. We believe that by providing these resources, we can significantly contribute to the progress of language model research.
Description
Qwen3.5-Plus is an advanced multimodal foundation model engineered to deliver efficient large-context reasoning across text, image, and video inputs. Powered by a hybrid architecture that merges linear attention mechanisms with a sparse mixture-of-experts framework, the model achieves state-of-the-art performance while reducing computational overhead. It supports deep thinking mode, enabling extended reasoning chains of up to 80K tokens and total context windows of up to 1 million tokens. Developers can leverage features such as structured output generation, function calling, web search, and integrated code interpretation to build intelligent agent workflows. The model is optimized for high throughput, supporting large token-per-minute limits and robust rate limits for enterprise-scale applications. Qwen3.5-Plus also includes explicit caching options to reduce costs during repeated inference tasks. With tiered pricing based on input and output tokens, organizations can scale usage predictably. OpenAI-compatible API endpoints make integration straightforward across existing AI stacks and developer tools. Designed for demanding applications, Qwen3.5-Plus excels in long-document analysis, multimodal reasoning, and advanced AI agent development.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Alibaba AI Coding Plan
No
Alibaba Cloud Model Studio
No
Forefront
Yes
OpenClaw
No
Qwen3.5
No
Shiori
No
Tabbit Browser
No
ZBrain
Yes
Integrations
Alibaba AI Coding Plan
Yes
Alibaba Cloud Model Studio
Yes
Forefront
No
OpenClaw
Yes
Qwen3.5
Yes
Shiori
Yes
Tabbit Browser
Yes
ZBrain
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
$0.4 per 1M tokens
Input: $0.4 per 1M tokens
Output: $2.4 per 1M tokens
Output: $2.4 per 1M tokens
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
EleutherAI
Founded
2020
Website
github.com/EleutherAI/gpt-neox
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai