@Nativ_AI: Run Qwen 3.5 9B locally with fully customizable system prompts. Make it sing. Make it rhyme. Make it brainstorm, write,…
Summary
Nativ is an open-source macOS app that runs Qwen 3.5 9B and other open models locally on Apple Silicon, offering customizable system prompts, telemetry, and integrations with coding agents, with no cloud or subscription required.
View Cached Full Text
Cached at: 08/07/26, 08:56 PM
Run Qwen 3.5 9B locally with fully customizable system prompts.
Make it sing. Make it rhyme. Make it brainstorm, write, code, or answer exactly the way you want.
With Nativ, experimenting with powerful local LLMs is fast, private, and effortless.
Your prompts. Your hardware. Your AI.
Build, create, and explore—without sending your data to the cloud.
Try Nativ: http://blaizzy.github.io/nativ/
Nativ — Local AI for your Mac
Source: https://blaizzy.github.io/nativ/ Latest release· 100% open source · live now
Run AI models locally on yourMac.
Nativ puts frontier intelligence on your desk. Download and run open models on Apple Silicon — no accounts, no subscriptions, no cloud.
Universal · Apple Silicon (M1+)
Nativ, running on macOSReal app. Real local models. No cloud.

01 / CHAT
Talk to open models with streaming responses and per-message performance metrics.
CAPTURED LIVE ON THIS MAC · JUL 2026
/ SIX REASONS TO GO LOCAL
Everything you need. Nothing you don’t.
01CURATED LIBRARY### Pick the right model for your Mac
Run standout open models from Google, Cohere, and Liquid AI. Nativ recommends the right partner model for your hardware.
02CHAT### Prompt it like you would Claude
A clean interface with streaming, markdown, code highlighting, and image input. Every response is generated locally.
03TELEMETRY### See what’s actually happening
Live tokens/sec, memory pressure, thermal state, and time-to-first-token. The details developers want.
04APPLE SILICON### Optimized for Apple Silicon
Built on MLX-VLM and tuned for M-series unified memory and Metal — no wrappers, no translation layers.
05EVERY MODALITY### Language, vision, video, code, audio
Chat with an LLM, caption an image, summarize video, autocomplete code, or transcribe and generate speech.
06FREE FOREVER### Not a SaaS. Not a subscription.
No accounts to create, no credits to buy, no data to sell. You own it end-to-end.
MITLICENSED
/ INTEGRATIONS
Your tools. Your models.
Connect the coding agents you already use to models running locally on your Mac. Nativ handles the endpoint; your workflow stays familiar.
01Pi02Codex03Claude Code04Hermes05OpenCode

LOCAL ENDPOINTOne model server. Every coding agent. MANIFESTO · REV 1.0
Why we’re open source when nobody else is.
philosophy\.txtUTF-8
$ cat philosophy.txt
The other “local AI” apps you’ve heard of? They’re proprietary shells built on top of open-source engines they don’t own. They keep the UI closed, add a paywall, and hope you don’t look under the hood.
We built in the open. The desktop app is open too. Every line. Every model loader. Every telemetry chart. You can read it, fork it, or send a pull request tonight.
No VC roadmap. No enterprise tier. No dark pattern that turns your prompts into training data. Just software made by researchers and hackers, for researchers and hackers.
Explore the full model library→ YOUR MAC IS MORE CAPABLE THAN YOU THINK
Stop renting intelligence.
Run it locally, in the open.
Similar Articles
Qwen3.6 35Ba3 has changed my workflows and even how I use my computer
A user describes how Qwen3.6 35B, combined with the 'pi' tool, has transformed their computer workflows, allowing natural language control of the OS and automated task execution. They successfully built a landing page from voice messages entirely locally, demonstrating the model's practical utility.
JetBrains local AI (using Qwen3.6 27B)
JetBrains launches Junie Local, an on-device AI coding agent that runs entirely on your Mac using the Qwen3.6 27B model, offering free and private AI assistance without cloud dependency.
Show HN: Qwen Scribe – local transcription and dictation for Apple Silicon
Qwen Scribe is an open-source tool for private, on-device transcription and dictation on Apple Silicon Macs, using Qwen3-ASR models via MLX. It supports drag-and-drop audio/video transcoding, language detection, SRT export, and system-wide dictation with a HUD.
Run Qwen3.8 27B locally: real numbers from my Mac Studio
The article provides real-world performance benchmarks for running the Qwen3.8 27B AI model locally on a Mac Studio, comparing it to its predecessor and discussing hardware requirements and quantization effects.
@Oluwaphilemon1: Qwen3.8-27B is running locally on an M1 MacBook with just 16GB of unified memory. No cloud API. No external GPU. Just a…
Qwen3.8-27B is shown running locally on an M1 MacBook with 16GB unified memory using UD-Q2_K_XL quantization and full Metal offload, achieving ~4 tokens/sec generation (~5.5 with speculative decoding) — demonstrating that large open-weight models can run on hardware many people already own.