🔗 SHA sum: 639478a83a815985e2ccfbd944a28909 | Updated: 2026-07-17

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CPU: multi-threading optimized for fast prompt processing
RAM: 48 GB needed to prevent memory swapping to disk
Disk Space: 80 GB NVMe SSD required for fast model weights loading
Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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Key Features of Our Open-Source Language Model

Technical Specifications: A Closer Look

Model Name	Qwen3.6-35B-A3B-MLX-4bit
Parameters	35 B
Architecture	A3B
Quantization	4-bit MLX
Context Length	8K tokens

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Our open-source language model offers a unique combination of high capacity and low-bit quantization, making it an attractive choice for developers seeking powerful yet resource-friendly AI solutions. With its compact footprint and strong performance in both reasoning and generation tasks, this model is well-suited for a wide range of applications.

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