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qwen3.8-27B
NGARiAI/qwen3.8-27B
qwen3.8-27B is a machine learning model from NGARiAI. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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 dep…
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Updated Sep 4, 2026
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Aug 30, 2026
- Updated
- Sep 4, 2026
- SHA
- 1b378184
Model card
From the Hugging Face model README
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, Q4_K_M 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:
| Use | What the 27B does | Output |
|---|---|---|
| Knowledge distillation | Generates reasoning traces / logits as a teacher | Smarter 1.5B students (e.g. ngari-ft-distilled) |
| Synthetic data | Creates diverse, high-fidelity training examples | ngari-datasets |
| Tool-use training | Simulates tool schemas, queries, correct calls | ngari-tool (100% tool-format eval) |
| LLM-as-a-judge | Scores student outputs for DPO/preference tuning | Aligned small models, fewer hallucinations |
| Sovereign specialization | Masters private/local data in a secure environment, then distills | Custom edge models that preserve privacy |
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) — Q4_K_M, ~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."
- License
- apache-2.0
- Languages
- en
- Created
- Aug 30, 2026
- Updated
- Sep 4, 2026