Sakura DeepSeek-V4.1-Flash-1017 · Overview

Eleven completed GGUF packages with unchanged upstream backbones and full Q3_K Engram tables. This repository is the catalog; download weights from a linked variant.

No full inference test has been performed on these modified packages. The checks cover integrity, layout, addressing and isolated decoder paths. There are no Sakura generation-quality, perplexity, speed or hardware-fit scores for these releases.

Original versus Sakura

Sakura package Matching upstream GB Unchanged backbone GB Sakura main files GB Saving GB
Maya-XS-IQ1_S 276.626 115.342 199.824 76.802
UD-IQ1_S 232.980 122.384 206.867 26.113
UD-IQ1_M 250.404 139.809 224.292 26.113
UD-IQ2_XXS 300.475 165.303 249.786 50.690
Maya-S-IQ2_XXS 339.478 178.193 262.676 76.802
UD-Q2_K_XL 334.794 199.622 284.104 50.690
UD-IQ3_XXS 394.737 233.452 317.934 76.802
UD-IQ3_S 423.631 262.346 346.829 76.802
UD-Q3_K_XL 485.069 282.311 366.793 118.276
UD-Q4_K_XL 500.708 297.950 382.432 118.276
UD-Q8_K_XL 508.377 305.619 390.101 118.276

GB = 10^9 bytes. Main GGUF files only; optional vision/projector, DSpark/drafter, imatrix and runtime files are outside these totals. Disk size is not memory consumption. A smaller row is not proof of better quality. The original safetensors checkpoint's broader package is about 510.297 GB; original Maya-S is 339.478 GB.

What Sakura changes

Sakura copies the credited upstream backbone files with identical sizes and full LFS SHA-256 identities, retains every expert and Engram row, and supplies the full lookup data in Q3_K. Q3_K applies to the tables only. No pruning, retraining or new backbone quantization is performed.

The shared lookup payload is 768,022,850 rows × 256 values, 110 bytes per row: 84,482,513,500 bytes before small GGUF headers. Maya has separate layer 1/14 table files; Unsloth has one combined table. Header and runtime contracts differ; payload reuse does not make complete files interchangeable.

Runtime and verification

  • Maya-S / Maya-XS: use the exact Project Maya revision and source patch in the model card. The new Maya-XS route needs v1.1.22's IQ1 backbone support. CPU parity and CUDA compilation do not constitute a GPU or Windows/AMD inference test.
  • Unsloth: use the pinned DeepSeek-4.1 llama.cpp branch in each model card; arbitrary stock runtimes are not qualified.

Every linked package was checked for main-file sizes/SHA-256, actual table headers and 192 real Q3 rows across both layers. Header repacks check their complete existing Q3 input and native-upload output hash. Read each build/compatibility record for exact scope.

Pinned verified releases

Variant Verified model-card revision Main GGUF files
Maya-XS-IQ1_S 7767a09857026f848981878768844e0ab3319da3 5
UD-IQ1_S 60e9c82dc861bc670dc99da7040064656fb586a7 5
UD-IQ1_M 086d00d124a6a38e2e4503dea79f86d4fc12c0d0 5
UD-IQ2_XXS 7807bec301a12bddd067f8179fbc9cc4969c64fe 6
Maya-S-IQ2_XXS 47a57ca5ef412dbb292f030f71c64aec59ed466e 6
UD-Q2_K_XL d5322182bd26ef950a2992ae73056405b720eecd 7
UD-IQ3_XXS e4d1b2aa27116d9e152702c770e196657281391c 7
UD-IQ3_S fab02319090c8cc330dc86bf8032fcff2be99110 8
UD-Q3_K_XL e4157d47bcb637290d383350d21d76a279605175 8
UD-Q4_K_XL c124d9acfdc582190b3289f65f7c55e2caffed85 9
UD-Q8_K_XL 44760773565d3ecaf50dcd1ccb2a7f6e6f0df9c4 9

Sources and license

Original: deepseek-ai/DeepSeek-V4.1-Flash-1017 at 1bae0e1088993b9b82de08f59de5be5a34e42170. Backbones: peasantsmith Maya and Unsloth. Lookup source: existing Sakura Maya-S Q3_K. Runtime/format credits: Project Maya, GGML and llama.cpp. Relevant MIT notices remain with the model packages.

Free public standard CPU runners only; no paid runner/GPU or inference API. Public HF storage remains best-effort, and quota-neutral cross-repository deduplication is not assumed.

中文说明(点击展开)

本目录列出 11 个已完成的 DeepSeek-V4.1-Flash-1017 GGUF 版本。主体保留上游原始字节,所有专家及全部 Engram 行均保留,仅将查找表以 Q3_K 存储。主体量化配方由上游作者提供;Q3_K 不表示整个模型都是 3 位。

上表对比对应上游大小、不变的主体、本版本主分片合计及减少量,单位为十进制 GB。最小 Maya-XS 为 199.824 GB;最小 Unsloth IQ1_S 为 206.867 GB。可选视觉、草稿模型、imatrix 和运行时不计入主分片合计。磁盘大小不等于内存要求,也不是质量排名。

表共有 768,022,850 行,每行 256 值、110 字节,数据区为 84,482,513,500 字节。Maya 使用两层独立表,Unsloth 使用合并表;两者表头和运行时约定不同。请下载对应整套分片,使用模型卡指定的运行时。

已核对主文件大小和 SHA-256、实际表头及跨两层的 192 行真实 Q3 数据。未进行完整模型推理测试;没有这些修改版本的回答质量、困惑度、速度、GPU 执行或 Windows/AMD 合格结论。上游或其他模型分数不能直接移用。

本仓库仅为目录,不存放大模型权重。模型、许可、固定版本及详细检查边界见各模型卡。

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