THE AI MODEL DIRECTORY 模型探索，从这里开始

找到适合你的 AI 模型。

从语言到影像，从开源到 API。读懂模型能力、比较真实成本，
为你的下一个想法，找到合适的智能引擎。

热门探索

84,991 款模型档案13202 家厂商 / 发布者45 个能力分类465 款有可比报价 · 30 款有公开评测

T文本生成 ▧图像生成 ▷视频生成 ⌘代码生成 ◖语音合成 ♫音乐生成 ⬡3D 建模 ▤文档分析

DISCOVER & COMPARE

探索 AI 模型 7

厂商输入输出许可

为你发现值得关注的模型

DeepSeek-V4.1-Flash-1017-ROCMFP-GGUF

Lucebox

Lucebox builds of DeepSeek's October 17 update of V4.1 Flash (`deepseek-ai/DeepSeek-V4.1-Flash-1017`, revision `1bae0e10`) for the Lucebox DS4.1 engine (AMD Radeon AI PRO R9700 + Ryzen AI Max). Routed experts in the engine's ROCMFP block formats; attention, shared experts and head in Q8_0; both Engram tables embedded, read in place. Same recipes and the same quality harness as our September V4.1 Flash files, re-measured against the 1017 model. For reference, the September files scored KL 0.266 (ROCMFP2S), 0.246 (MIX10) and 0.204 (fp2s with fp3 down everywhere) against the September model (teacher ppl 8.45) on the same tokens. **Which one:** ROCMFP2S is what the 128 GB Lucebox installs (the hottest experts on the R9700, the rest on the Ryzen AI Max and the SSD). MIX10 is the better file where it fits resident (192 GB boards). ROCMFP23S is the best quality of the three, for two-box setups and boards with room for 179 GiB of experts. The `-IM1017` files are the same recipes calibrated on the 1017 weights; prefer them (Lucebox Manage installs `ROCMFP2S-IM1017`).

译文排队中 · 当前显示来源原文

分类待补充

输入待核验→ 输出待核验

价格待核验多模态与渠道费用须分别核对

查看详情 ↗

加入对比来源 / 文档 ↗

DeepSeek-V4.1-Flash-DSpark-GGUF

Lucebox

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。

分类待补充

输入待核验→ 输出待核验

价格待核验多模态与渠道费用须分别核对

查看详情 ↗

加入对比来源 / 文档 ↗

DeepSeek-V4.1-Flash-ROCMFP23-GGUF

Lucebox

Lucebox builds of DeepSeek V4.1 Flash for the Lucebox DS4.1 engine (AMD R9700 + Strix Halo). Routed experts in the engine's ROCMFP block formats; attention, shared experts and head in Q8_0; both Engram tables embedded. Calibrated with the published 262,144-token imatrix (`smalinin/DeepSeek-V4.1-Flash-GGUF`, converted in `imatrix/`). Formats: `Q2_0_ROCMFP2` (ggml type 107, 10 bytes per 32 weights, 2.5 bits, codebook {-1, 0, 1, 2} x a ue4m3 scale per 16 weights), `Q3_0_ROCMFPX` (type 104, 14 bytes per 32, 3.5 bits). **fp2s** files use type 107 with bit 7 of a half-block's scale byte meaning "mirror the codebook"; a reader that ignores that bit produces garbage, so use an engine build that honors it. KL is measured on 8,184 held-out fineweb-edu tokens against the unquantized model through the same reference forward pass (`eval/` holds the teacher log-probs and the tokens). Recipe, converter patches and harness: Lucebox repo, `lucebox_training/quantization`. `DeepSeek-V4.1-Flash-mmproj-BF16.gguf` (0.90 GiB): this checkpoint's vision encoder (32-layer ViT and the aligner into the 5120-wide model), its 266 tensors copied byte for byte in BF16 by the engine's `server/tools/export_ds4v_mmproj.py`, with the checkpoint revision recorded (sha256 in `vision/`). Pass it with `--mmproj` to an engine build with V4.1 image input, next to these September files only: the October 17 checkpoint retrained its encoder and ships its own in `Lucebox/DeepSeek-V4.1-Flash-1017-ROCMFP-GGUF`. The engine refuses an encoder from another checkpoint than the target's.

译文排队中 · 当前显示来源原文

分类待补充

输入待核验→ 输出待核验

价格待核验多模态与渠道费用须分别核对

查看详情 ↗

加入对比来源 / 文档 ↗