A standalone PowerShell module provides the fastest route to local installation.
Follow the step-by-step instructions below.
The engine will automatically fetch large dependencies in the background.
The installer diagnoses your environment to deploy the most compatible profile.
The Qwen3.5-9B-MLX-8bit model delivers high‑performance language understanding with a balanced trade‑off between accuracy and computational efficiency. Built on the MLX framework, it leverages 8‑bit quantization to reduce memory footprint while preserving core linguistic capabilities. With 9 billion parameters and a context window of up to 8K tokens, the model can handle complex reasoning tasks and long‑form generation. Its optimized architecture enables fast inference on consumer‑grade hardware, making advanced AI accessible without specialized GPUs. The model has been fine‑tuned on diverse corpora, ensuring robust performance across multilingual benchmarks and domain‑specific applications. Developers benefit from its open‑source nature, allowing seamless integration into production pipelines and custom AI solutions.
| Spec | Value |
|---|---|
| Model Name | Qwen3.5-9B-MLX-8bit |
| Parameter Count | 9 B |
| Quantization | 8‑bit |
| Context Length | 8K tokens |
| Framework | MLX |
| License | Open Source |
- Installer configuring localized web dashboard for Whisper-Large-V3 live processing
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- Script fetching minimal terminal-based chat client binaries with full markdown output
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- Script fetching optimized Phi-4-Mini-Instruct weights for lightweight edge devices
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