Run Qwen3.5 text models on Apple Silicon with Core ML. These packages use 6-bit compressed linear weights and include a four-token prompt-prefill graph alongside the one-token decoder. The repository contains nine model/context packages: 0.8B at 2,048 tokens; 2B at 2,048 and 16,384 tokens; and 4B and 9B at 2,048, 8,192, and 16,384 tokens. This is an unofficial conversion and is not affiliated with or endorsed by the Qwen team. It is based on the original Qwen3.5-4B, and Qwen3.5-9B models. - Designed for Apple Neural Engine execution. Core ML packages split the model into chunks and keep the shared token embedding table on the host. - Compact weights. Linear layers use 6-bit k-means…