ORNITH-K8S — LOCAL DEVOPS AGENT FOR KUBERNETES OPERATIONS
A custom model built on DeepReinforce Ornith-1.0-9B/1.5-9B, tuned as an
autonomous and automation agent. It speaks the Anthropic-compatible
API, so it drives Claude Code, Codex and opencode fully locally
your code never leaves your machine and cloud token costs drop to zero.
Ornith-1.0-9B scores 69.4% on SWE-Bench Verified ,
Ornith-1.5-9B scores 70.6% on SWE-Bench Verified -
beating models 3-4x larger (Gemma 4-31B, Qwen 3.6-35B) in coding tasks,
despite having only 9B parameters.
The model ships with a system prompt focused on real work in a terminal:
use tools instead of guessing, write files instead of pasting code, ground
every answer in real tool output, and stay terse. Thinking is suppressed
(think:false), context set to 256K.
Agentic code writing and editing with native function calling / tool use
Sysadmin / devops tasks in a real terminal (disk, network, scripts)
Full privacy and offline operation
QUICK START
$ ollama run ornith-k8s
In Claude Code:
$ ollama launch claude --model ornith-k8s
TESTS
## User
execute kubectl to get nodes on the current context
---
## Assistant (Build · Ornith K8S · 63.5s)
_Thinking:_
The user wants me to run a simple kubectl command to list nodes. Straightforward.
**Tool: bash**
**Input:**
```json
{
"command": "kubectl get nodes"
}
Output:
NAME STATUS ROLES AGE VERSION
k8s Ready control-plane,worker 473d v1.34.6
BEHAVIOR TUNING
No thinking. SYSTEM /nothink + think:false in API. Model acts,
does not monologue.
No hallucination. Reports only values from tool output
does not fabricate.
Acts, never asks. Inspect / scan / check / measure -> runs the command.
Terse, one language. No preamble, no recap, matches the user's language.
SAMPLING / CONTEXT
temperature 0.2, top_p 0.9, top_k 20, repeat_penalty 1.05, num_ctx 262144
Native context 262K - can be raised on stronger hardware
HOW IT WAS MADE
Duplicate from rafw007/ornith-1.0-9b-claude-coder with adaption for Devops
and Kubernetes Operations.
LICENSE
MIT (inherited from the base DeepReinforce Ornith-1.0 model).
--- Card: 2026-08-24. Tests on Mac Mini and opencode
