BitNet

BitNet

Microsoft
+
+

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About

The BitNet b1.58 2B4T is a cutting-edge 1-bit Large Language Model (LLM) developed by Microsoft, designed to enhance computational efficiency while maintaining high performance. This model, built with approximately 2 billion parameters and trained on 4 trillion tokens, uses innovative quantization techniques to optimize memory usage, energy consumption, and latency. The platform supports multiple modalities and is particularly valuable for applications in AI-powered text generation, offering substantial efficiency gains compared to full-precision models.

About

Qwen3.5-35B-A3B is part of the Qwen3.5 “Medium” model series, designed as a highly efficient, multimodal foundation model that balances strong reasoning ability with practical deployment requirements. It uses a Mixture-of-Experts (MoE) architecture with 35 billion total parameters but activates only about 3 billion per token, allowing it to deliver performance comparable to much larger models while significantly reducing computational cost. The model integrates a hybrid attention mechanism that combines linear attention with standard attention layers, enabling efficient long-context processing and improved scalability for complex tasks. As a native vision-language model, it can process both text and visual inputs, supporting use cases such as multimodal reasoning, coding, and agent-based workflows. It is designed to function as a general-purpose “AI agent,” capable of planning, tool use, and structured problem solving rather than just conversational responses.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, researchers, and enterprises looking for a highly efficient, scalable Large Language Model (LLM) that delivers high performance with reduced memory usage, energy consumption, and latency

Audience

AI developers and researchers seeking a tool for building reasoning-heavy applications without requiring massive compute resources

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
microsoft.com

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

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GPT-5.5 Pro

GPT-5.5 Pro

OpenAI
Qwen3.5

Qwen3.5

Alibaba
Qwen3.6-27B

Qwen3.6-27B

Alibaba

Categories

Categories

Integrations

Hugging Face
ModelScope
Ollama
OpenClaw
Qwen
Qwen Chat

Integrations

Hugging Face
ModelScope
Ollama
OpenClaw
Qwen
Qwen Chat
Claim BitNet and update features and information
Claim BitNet and update features and information
Claim Qwen3.6-35B-A3B and update features and information
Claim Qwen3.6-35B-A3B and update features and information