Q
Quasar
18B parameter MoE foundation model optimized for long-context agent applications
Open SourceFree
About
Quasar is an 18B parameter Mixture-of-Experts foundation model with 2B active parameters, specifically designed for long-context agent applications. Built by Silx AI with a hybrid transformer architecture, it leverages decentralized training through Bittensor's distributed network. The model excels at processing extended contexts while maintaining computational efficiency through its MoE approach, making it suitable for complex agent reasoning tasks.
Details
| Language | |
| Patterns |
Tags
open-sourceautonomousframeworkpythonmulti-agent
Quick Info
- Organization
- Silx AI
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Jun 14, 2026
Also in Frameworks
L
LangChain
Build context-aware reasoning applications with LLMs
OSSFree
LangChain AI
139.6K850.0K/wtoday469
A
AutoGen
Microsoft's framework for building multi-agent AI systems
OSSFree
Microsoft
59.1K9w ago445
C
CrewAI
Multi-agent orchestration framework for collaborative AI workflows
OSSFree
CrewAI Inc
53.9Ktoday297