Qwen3.5-122B-A10B-bf16
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A high-performance **4-bit MLX quantization** of Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled. Specifically optimized for Apple Silicon (M-series chips) to provide deep, agentic-level reasoning locally. The original BF16 weights are **55.6 GB**. This conversion reduces the footprint to **14 GB**, making it runnable on any Mac with 24 GB+ of unified memory with room to spare for large context windows. Most local LLMs are "reactive" — they start generating a response before they've fully mapped out the logic. This model is **deliberative**.
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This model was converted to MLX format from `Qwen/Qwen3.5-2B` using mlx-vlm version **0.3.12**. Refer to the original model card for more details on the model.
This model was converted to MLX format from `Qwen/Qwen3.5-2B` using mlx-vlm version **0.3.12**. Refer to the original model card for more details on the model.
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This model was converted using `mlx-vlm` from the `pc/fix-qwen35-predicate` branch, which includes fixes for Qwen3.5 model support (proper handling of MoE gate layers, `shared_expert_gate`, and `A_log` casting). A better, more optimized conversion may be available from **@Prince** (@Blaizzy) in the MLX VLM community. Check the mlx-community organization for updated versions as official Qwen3.5 support is merged into the main `mlx-vlm` branch.
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This model was converted to MLX format from `Qwen/Qwen3.5-35B-A3B` using mlx-vlm version **0.3.12**. Refer to the original model card for more details on the model.
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