一个在 Apple M3 Max / 128GB 统一内存上手工量化出的 Qwen3.8-Flash-Next(qwen4exp 架构,180B 级 MoE:125B 主干 + 51B n-gram 表 + 4B MTP 投机头)的 mlx-serve 混合位宽包:常驻约 60GB,无审查源,带视觉塔。 - 基座模型:Qwen 官方 Qwen3.8-Flash-Next;原始权重:社区团队 orcarouter 的无审查 BF16 包(335.3 GiB / 131 分片,逐文件 sha256 验收 132/132 通过) - 量化工具链:mlx-serve 仓库自带产线(imatrix 校准采集 → 贪心位宽分配 → 混合宽度转换 → 留出窗口打分),感谢上游作者 - 本包作者做的四件事:用自己的 AI 会话日志做校准语料(三个 agent 工具的真实流量 + 官方通用语料,按内容 sha1 去重 26.11%,密钥/凭证脱敏)、逐层贪定位宽配方、跑完整产线、做质量与业务验收 - 卡片样式沿用 mlx-serve 生态包卡片惯例(模板参考 ddalcu 上游卡片),读数全部替换为 M3 Max 128GB 本机实测 整库约 92GB:权重与视觉塔 59.83GB(索引载荷口径,100 个编号分片 + model-vision.safetensors)+ 独立 n-gram 表 32,000,153,976 字节(ngramtable.bin)+ 9 个配置/文档文件。 生产运行口径(日常 DSH agent 会话,2026-10-06 17:24 起 51 小时):…
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LOKSUN
LOKSUN-158
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Datasets in Library0
Models on Hugging Face1
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