1 Download
Capabilities
Minimum system memory
Tags
1 Download
Capabilities
1 Download
Capabilities
Minimum system memory
Tags
1 Download
Capabilities
Minimum system memory
Tags
Last updated
Updated 8 days agobyREADME
Custom Fields
Special features defined by the model author
Reasoning Effort
: select
(default=xhigh)
Controls how much reasoning the model should perform.
Enable Thinking
: boolean
(default=true)
Controls whether the model will think before replying
Preserve Thinking
: boolean
(default=true)
Preserve reasoning content in all prior assistant turns instead of only the most recent one
Parameters
Custom configuration options included with this model
Sources
The underlying model files this model uses
Minimum system memory
Tags
Last updated
Updated 8 days agobyREADME
Custom Fields
Special features defined by the model author
Reasoning Effort
: select
(default=xhigh)
Controls how much reasoning the model should perform.
Enable Thinking
: boolean
(default=true)
Controls whether the model will think before replying
Preserve Thinking
: boolean
(default=true)
Preserve reasoning content in all prior assistant turns instead of only the most recent one
Parameters
Custom configuration options included with this model
Sources
The underlying model files this model uses
Agent Execution: stronger autonomous planning and environment-feedback handling improve reliability on complex, multi-step tasks.
Flexible Thinking Control: thinking is enabled by default, with xhigh, medium, and low reasoning-effort levels. Reasoning from previous messages is preserved by default for better continuity in agentic workflows.
Vision-Language Understanding: native image and video understanding supports content ranging from STEM diagrams and documents to hour-scale videos.
Long Context: natively supports up to 262,144 tokens.
Based on
GGUF
Agent Execution: stronger autonomous planning and environment-feedback handling improve reliability on complex, multi-step tasks.
Flexible Thinking Control: thinking is enabled by default, with xhigh, medium, and low reasoning-effort levels. Reasoning from previous messages is preserved by default for better continuity in agentic workflows.
Vision-Language Understanding: native image and video understanding supports content ranging from STEM diagrams and documents to hour-scale videos.
Long Context: natively supports up to 262,144 tokens.
Based on
GGUF
