NGARiAI/qwen3.8-27B
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NGARi Sovereign Edge — Qwen 27B Serving Configuration
This repository contains the serving configuration and model card for running a Qwen 27B-class instruct model (Qwen3.5 family, 27.3B params, Q4KM GGUF) on NGARi Orin 64GB edge hardware via Ollama — with zero cloud dependency and a verified air-gap.
This repo ships configuration (Modelfile + card), not weights. Weights are pulled through Ollama's registry under the tag qwen3.8:27b.The role of this model in the NGARi stack
The 27B model is NGARi's R&D engine, not just an end product. It powers the creation of NGARi's small, fast edge models:
The result is the "holy trinity" of edge deployment: accurate (teacher distillation), powerful (specialized tool use), fast (small parameter count).
Key features
- Runs on NVIDIA Jetson AGX Orin 64GB (aarch64) — Q4KM, ~16GB footprint
- 262K-token context window; completion, tools, thinking, vision capabilities
- Zero cloud dependency for inference; verified air-gap (monitored via
/proc/net/dev) - Apache 2.0 kernel: github.com/NGARiAI/ns-bos-kernel
Usage (Ollama)
ollama run qwen3.8:27b "your prompt here"
# long-lived sessions:
ollama run qwen3.8:27b --keepalive 20m "your prompt"Licensing
- Qwen base model: Apache 2.0 (Qwen license terms apply to the weights)
- NGARi-authored configuration and pipeline artifacts: Apache 2.0 — Bison Venture Partners LLC dba NGARI
Sovereign AI
All inference runs on user-owned edge hardware. Zero cloud dependency. Verified air-gap. "AI You Own. Completely."
