MiaAI-Lab / DeepSeek-v4-Flash-DSpark-2x-DGX-Spark

DeepSeek-v4-Flash 0731 recipe for 2x DGX Sparks

NVIDIA-NeMo / Automodel

🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support

DeepSeekV4Flash0731 / DeepSeek-V4-Flash-0731

DeepSeek V4 Flash 0731 - free deepseek v4 flash download, gguf, ollama, deepseek v4 pro 0813. deepseek v4 flash vs pro, benchmark, MoE, 1M context, compressed sparse attention, coding. CUDA/CPU, no API key, Windows local AI. Download:🡇

MiaAI-Lab / DeepSeek-v4-Flash-One-DGX-Spark

DeepSeek v4 Flash EXL3 on one DGX Spark

raullenchai / twinspark

Production-grade recipe for DeepSeek-V4-Flash-0731 (284B MoE) on 2x NVIDIA DGX Spark: self-healing 2-node vLLM cluster, reboot-verified, tuned DSpark speculative decoding (~75 tok/s), full benchmarks, OpenAI Codex CLI integration

0xSero / deepseek-v4-flash-0731-spark-sparkinfer

Pinned one-DGX-Spark Docker recipe for DeepSeek V4 Flash with EXL3, SparkInfer, and 262K NVFP4 MLA KV cache

ryanzhou / deepseek-v4-flash-mi300x

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chadhurley25075-png / pd-bridge

Heterogeneous prefill/decode for DeepSeek-V4-Flash: CUDA prefill (DGX Spark, vLLM) -> Metal decode (Mac Studio, oMLX) over plain 10GbE

yanun0323 / Whallm

DeepSeek-V4-Flash-0731 284B inference in ~25 GB of RAM / Qwen3.8-Next-Flash inference in ~15 GB of RAM on any M-series MacBook

NeelM0906 / Mference

Swift + Metal MoE inference for Apple Silicon: Qwen 3.6 35B at 23.5–29.3 tok/s decode with 2.20× faster long-prompt prefill on a 24 GB M5; Gemma 4 26B in ~2 GB, DeepSeek-V4-Flash 284B, Inkling-Small 276B, native Mac app, CLI, and OpenAI-compatible server.

allover326 / deepseek-v4-cmp170hx

DeepSeek-V4-Flash-0731 on 4x CMP 170HX (sm_80): 98 tok/s decode, ~5300 tok/s prefill. DSpark speculative decoding under pipeline parallelism, which vLLM does not support upstream.

jiayuqi7813 / DeepSeek-V4-Flash-0731-CRACK-2x-DGX-Spark

Reproducible refusal-subspace editing and TP=2 deployment of DeepSeek V4 Flash 0731 on two DGX Sparks

liangdabiao / ecom-video-seedance-prompt

这是一个基于deepseek-v4-flash-vision 视觉deepseek大模型的复刻带货爆款视频Skill, 会生成复刻效果的seedance提示词！ > 你刷到一条带货爆款视频，想让 AI 照着再来一条——本 skill 就是那个"翻译官"： > 它把视频**看懂**（拆成一张张镜头卡片），再把卡片**翻译**成即梦（Seedance） > 能直接执行的提示词。你拿到手的，是一套可以直接粘贴进即梦的完整提示词包。

liangdabiao / deepseek-v4-flash-vision-rag

DeepSeek V4-Flash Vision RAG 让 AI 真正"看懂" 一份 PDF，然后你对它提问：它告诉你答案、答案在第几页， 并把那一页的原图展示出来给你核对。 基于 DeepSeek 视觉大模型 deepseek-v4-flash-vision-exp 的 PDF 深度问答与检索 （vision RAG）agent skill。支持文字版 PDF，也支持扫描版；能看懂 图表、表格、代码块、公式，而不只是认字。

liangdabiao / deepseek-v4-flash-vision-video-rag

DeepSeek V4-Flash Vision Video RAG 让 AI 真正"看懂" 一段视频，然后你对它提问：它告诉你答案、答案发生在 第几分几秒，并切出那一段的可播放片段和关键帧给你核对。 基于 DeepSeek 视觉大模型 deepseek-v4-flash-vision-exp 的视频理解与问答 （video RAG）agent skill。先按时间轴抽帧阅读、建立索引（一次性），再对问题做 本地粗筛 → 视觉精排 → 深读回答；回答带 [MM:SS] 时间戳引用，自动生成 自包含 HTML 预览页（内嵌可播放片段 + 关键帧 + 答案），双击浏览器即看。

baker27727 / ds4-8gb-cpu

DeepSeek V4 Flash CPU/NVMe research fork: 78.62 GiB GGUF validated on 7.7 GiB RAM, CPU-only, using demand paging.

ormandj / sglang-deepseek-v4-flash-sm120

Reproducible SGLang image for DeepSeek-V4-Flash-0731 on SM120

tonyd2wild / DS4-H3-Video-Gen-Factory

Run DeepSeek-V4-Flash at full 1M context AND two MiniMax H3 video instances on the same two DGX Sparks. Benchmarked C1-C6.

r0b0tlab / DeepSeek-V4-Flash-DSpark-v026-SM121

DeepSeek-V4-Flash-DSpark optimized vLLM 0.26.0 SM121 dual-GB10 evidence (NVFP4 KV, B12X, DSpark K6)

tonyd2wild / DeepSeek-v4-Flash-0731-Vision-DSpark-1M-NVFP4-KV-2x-DGX-Spark

Give DeepSeek V4 Flash eyes. OpenAI-compatible shim + tiny local VLM. Point any harness at one URL and your text-only model accepts images. Zero dependencies.

otheru-ai / ember

DeepSeek-V4-Flash inference for AMD Strix Halo

shyringo / deepseek-v4-flash-0731-in-c

Run the native 284B-A13B DeepSeek-V4-Flash-0731 LLM locally on one laptop CPU: pure C, 8 GB RAM minimum, no GPU, best TPOT 0.892 s/token, resident OpenAI-compatible API with function tools. | 在笔记本单颗 CPU 上本地运行原生 284B-A13B DeepSeek-V4-Flash-0731 大模型：纯 C，最低 8 GB 内存，无需 GPU，最优 TPOT 0.892 秒/token，支持模型常驻的 OpenAI 兼容接口与函数工具。