Qwen3.8-27B-MLX-6bit
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Qwen3.8-27B-MLX-8bit
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View details ↗Qwen3.8-27B-oQ2
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View details ↗Qwen3.8-27B-oQ4
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View details ↗Qwen3.8-27B-oQ8
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View details ↗Qwen3.8-Flash-Next-MLX-2bit-MTP
TensorFoldA compact MLX affine conversion of Qwen/Qwen3.8-Flash-Next with sensitive language paths kept in BF16 and the model's own MTP block preserved. This is a non-sensitivity MLX conversion. It is not uniform Q2 and it is not an oQ build. Routed and shared experts plus the predictive n-gram embedding paths use affine 2-bit weights at group size 32. Attention, Gated DeltaNet, hyperconnection, routing, vision, token embedding, output head, and native MTP weights remain in BF16 or their source-compatible dtype. The upstream tokenizer, current chat template, image and video processor configuration, generation configuration, licence, and native MTP configuration are included.
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View details ↗Qwen3.8-Flash-Next-MLX-3bit-MTP
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View details ↗Qwen3.8-Flash-Next-MLX-4bit
TensorFoldA native Apple-silicon conversion of Qwen/Qwen3.8-Flash-Next , quantised directly from the official BF16 checkpoint. This repository contains a 4-bit affine MLX conversion of Qwen3.8 Flash Next. It was produced directly from Qwen's BF16 weights using group size 32. The smaller group is intentional: it also covers the model's 160-wide hashed n-gram embedding tables instead of leaving them in BF16. The upstream tokenizer, chat template, vision processor, and generation configuration are preserved. The optional upstream MTP head is not included in this checkpoint.
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View details ↗Qwen3.8-Flash-Next-MLX-4bit-MTP
TensorFoldA uniform 4-bit MLX conversion of Qwen/Qwen3.8-Flash-Next , rebuilt directly from the official BF16 checkpoint with the model's native MTP draft block preserved. This repository contains the standard uniform 4-bit release. Eligible language-model and native-MTP modules use MLX affine quantisation at group size 32. Multimodal modules and MoE router gates remain in BF16. Group size 32 also covers the model's 160-wide hashed n-gram embedding tables. The upstream tokenizer, chat template, vision processor, generation configuration, licence, and native MTP configuration are retained.
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View details ↗Qwen3.8-Flash-Next-MLX-6bit-MTP
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View details ↗Qwen3.8-Flash-Next-MLX-8bit-MTP
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View details ↗Qwen3.8-Flash-Next-MLX-oQ2
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View details ↗Qwen3.8-Flash-Next-MLX-oQ2-MTP
TensorFold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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View details ↗Qwen3.8-Flash-Next-MLX-oQ3-MTP
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View details ↗Qwen3.8-Flash-Next-MLX-oQ4
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View details ↗Qwen3.8-Flash-Next-MLX-oQ4-MTP
TensorFold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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View details ↗Qwen3.8-Flash-Next-MLX-oQ6-MTP
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View details ↗Qwen3.8-Flash-Next-MLX-oQ8-MTP
TensorFold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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