Qwen3.5-4B-6bit
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Qwen3.5-4B-8bit
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View details ↗Qwen3.5-4B-bf16
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View details ↗Qwen3.5-4B-MLX-4bit
mlx-communityThis is a 4-bit quantized MLX version of Qwen/Qwen3.5-4B for Apple Silicon. - **Original Model:** Qwen/Qwen3.5-4B - **Quantization:** 4-bit (5.347 bits per weight) - **Group Size:** 64 - **Format:** MLX SafeTensors - **Framework:** mlx-vlm - **Disk Size:** ~2.9G 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).
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View details ↗Qwen3.5-4B-MLX-8bit
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View details ↗Qwen3.5-4B-MTP-4bit
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View details ↗Qwen3.5-4B-MTP-5bit
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View details ↗Qwen3.5-4B-mxfp8
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View details ↗Qwen3.5-4B-nvfp4
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View details ↗Qwen3.5-4B-OptiQ-4bit
mlx-community> **Built with mlx-optiq**, the MLX-native toolkit to quantize, fine-tune, and serve LLMs locally on Apple Silicon, no PyTorch and no cloud. Try the Lab · All OptiQ quants · Docs A 4-bit mixed-precision MLX quant produced by mlx-optiq, the sensitivity-aware quantization toolkit for Apple Silicon. Beats stock uniform 4-bit on every benchmark in the six-metric Capability Score. A 4-bit mixed-precision MLX quant of Qwen/Qwen3.5-4B. Per-layer bit-widths come from a KL-divergence sensitivity pass on a six-domain calibration mix (prose · reasoning · code · agent · tool-call · constraint-bearing instructions). Sensitive layers go to 8-bit; robust ones stay at 4-bit. The on-disk size is within ~5 % of a stock uniform 4-bit MLX quant.
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View details ↗Qwen3.5-9B-4bit
mlx-communityThis model was converted to MLX format from `Qwen/Qwen3.5-9B` using mlx-vlm version **0.3.12**. Refer to the original model card for more details on the model.
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View details ↗Qwen3.5-9B-6bit
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View details ↗Qwen3.5-9B-8bit
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View details ↗Qwen3.5-9B-bf16
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View details ↗Qwen3.5-9B-MLX-4bit
mlx-communityThis is a quantized MLX version of Qwen/Qwen3.5-9B for Apple Silicon. - **Original Model:** Qwen/Qwen3.5-9B - **Quantization:** 4-bit (~5.059 bits per weight) - **Group Size:** 64 - **Format:** MLX SafeTensors - **Framework:** mlx-vlm 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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View details ↗Qwen3.5-9B-MLX-8bit
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View details ↗Qwen3.5-9B-MTP-4bit
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View details ↗Qwen3.5-9B-OptiQ-4bit
mlx-community> **Built with mlx-optiq**, the MLX-native toolkit to quantize, fine-tune, and serve LLMs locally on Apple Silicon, no PyTorch and no cloud. Try the Lab · All OptiQ quants · Docs A 4-bit mixed-precision MLX quant produced by mlx-optiq, the sensitivity-aware quantization toolkit for Apple Silicon. Beats stock uniform 4-bit on every benchmark in the six-metric Capability Score. A 4-bit mixed-precision MLX quant of Qwen/Qwen3.5-9B. Per-layer bit-widths come from a KL-divergence sensitivity pass on a six-domain calibration mix (prose · reasoning · code · agent · tool-call · constraint-bearing instructions). Sensitive layers go to 8-bit; robust ones stay at 4-bit. The on-disk size is within ~5 % of a stock uniform 4-bit MLX quant.
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View details ↗Qwen3.6-27B-4bit
mlx-communityThis model was converted to MLX format from `Qwen/Qwen3.6-27B` using mlx-vlm version **0.4.4**. Refer to the original model card for more details on the model.
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View details ↗Qwen3.6-27B-8bit
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View details ↗Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-2Bit
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View details ↗Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-8Bit
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View details ↗Qwen3.6-27B-bf16
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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