8 GB accelerator memory
Q4 GGUF · llama.cpp
The model loads at short context, but the published 262K maximum is not practical here.
DeepReinforce
Text model
Ornith 1.0 9B
A compact reasoning model tuned for agentic tasks and tool use.
ChatCoding
Capabilities
What you can use it for.
The most useful reasons to choose this model, without making you read through its repository first.
ReasoningTool callingLong contextAgentic loops
01
Personal assistants
02
Tool use
03
Affordable reasoning
For providers
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Starting point8 GB GPU memory
Conservative estimate
12 GB accelerator memory
Q4 GGUF · llama.cpp
The official Q4 is 5.63 GB; 12 GB leaves practical room for context and runtime state.
Source and license
Check the original model.
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