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MiaAI-Lab / DeepSeek-v4.1-Flash-1017-2x-DGX-Sparks

DeepSeek-V4.1-Flash-1017 EXL3 on 2x DGX Sparks with TensorFold

Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Zig backend, Swift frontend macOS app with chat, music, voice, video generation.

justxor / deepseek-local-guide-ru

🐋 Полный гайд на русском: как установить и запустить DeepSeek локально (V4, R1) на ПК, Mac и сервере — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG, агенты, fine-tuning, лучшие фишки

Lore-Hex / token-exchange-neocloud-in-a-box

Open-source confidential GPU inference cloud in a box: Intel TDX + NVIDIA confidential-computing nodes for DeepSeek-V4.1-Flash and GLM-5.3, verifiable and listed on TrustedRouter

Elevatormusic / DeepSeek-V4.1-Flash-1017-EXL3-TensorFold-2x-DGX-Spark

DeepSeek-V4.1-Flash-1017 EXL3 2.9bpw on 2x NVIDIA DGX Spark (GB10) with TensorFold: 2.1-2.3x the vLLM kit's decode speed.

lxe / dsx

DeepSeek-V4.1-Flash-1017 (552B MoE) on 2x RTX 3090 + 128 GB RAM: Rust + CUDA engine and 2-bit quant. 30-37 tok/s decode.

unslothai / unsloth

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

modelscope / ms-swift

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

FlashML-org / FreeToken

FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.

jeinlee1991 / chinese-llm-benchmark

非线智能 NoneLinear - ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括374个大模型，覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat等商用模型，以及step3.5-flash、kimi-k2.6、ernie4.5、MiniMax-M2.7、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。不仅提供排行榜，也提供规模超200万的大模型缺陷库！方便广大社区研究分析、改进大模型。

papersgpt / papersgpt-for-zotero

A powerful Zotero AI and MCP plugin with ChatGPT, Gemini 4, Claude Fable 5.1, Claude Opus 5.5, DeepSeek V4.1, Grok, OpenRouter, Kimi k3, GLM 5.3, SiliconFlow, GPT-oss, Gemma 4, Qwen 3.8

lessweb / deepcode-cli

Deep Code 是专为 deepseek-v4 模型优化的终端 AI 编码助手，支持深度思考、推理强度控制以及 Agent Skills。

Vizards / deepseek-v4-for-copilot

Pick DeepSeek V4 from the Copilot Chat model picker — and keep everything else Copilot already gives you.

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

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

mw00 / project-maya

Project Maya - run GLM-5.3-Flash (321B MoE) and DeepSeek-V4.1-Flash-1017 (748B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.

NVIDIA-NeMo / Automodel

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

tigicion / dao-code

Open-source TypeScript terminal coding agent for DeepSeek-V4 — builds on DeepSeek's strong price-performance and ultra-cheap cache pricing, engineering byte-stable prefixes and cache-reusing forks so cross-session memory and a continuous self-correction layer add almost no token cost; 1M context, Skills/MCP/Hooks, Claude Code config compatible.

countbot-ai / CountBot

更适配中文用户的轻量开源AI Agent | 国产大模型Coding plan支持 | 兼容OpenClaw Skills生态| 已接入微信ClawBot/微博龙虾/飞书/钉钉/QQ/小智AI/Telegram/deepseek-v4。

baidu-baige / LoongForge

A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.

zli12321 / LHTB

Long Horizon Terminal Benchmark with Dense Reward Grading

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

DeepSeek v4 Flash EXL3 on one DGX Spark

MiaAI-Lab / DeepSeek-v4.1-Flash-EXL3-2x-DGX-Sparks

DeepSeek v4.1 Flash EXL3 2.9 bpw for 2x DGX Sparks

MiaAI-Lab / DeepSeek-v4.1-Flash-DGX-Sparks

DeepSeek-V4.1-Flash on 3-4x NVIDIA DGX Sparks

Indras-Mirror / Xolotl

Xolotl (formerly Strata-DSV4.1): DeepSeek-V4.1-Flash, all 552B, on one gaming PC (RTX 4090 + 90 GB RAM) at ~27 tok/s, plus GLM-5.3-Flash, Qwen3.8-Flash-Next and Qwen3.8-27B. A heavily extended fork of Strata: MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic API.

Microqian2th / dsh-codex-effort-slider

Codex 风格的推理等级滑条（DeepSeek Harness 插件）：可拖动连续滑条 + 高档位渐变星尘特效

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

andyzpb / localMoE

Run DeepSeek-v4-pro (1600B MoE) on a 24GB-RAM consumer machine — rust, streamed from disk.

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

sybil-solutions / dsv41-flash-offload

DeepSeek-V4.1-Flash EXL3 on one 24 GB RTX 3090 + DDR4 + NVMe: staged-DMA prefill, AVX2 CPU expert tier, elastic VRAM expert cache, Engram on disk, OpenAI API

tonyd2wild / DeepSeek-V4.1-Flash-vLLM-DGX-Spark

DeepSeek-V4.1-Flash (552B MoE, MXFP4 experts, 1M ctx) on four NVIDIA DGX Sparks with vLLM TP4: Engram-on-disk patch, sm121 kernel build, launchers, measured numbers

sjh9714 / dsh-win32

Fix and diagnose DeepSeek Harness on native Windows. Official PowerShell, Workspace Write, shortcuts, and legacy preset repair. No WSL.

0xBakeer / deepseek-v41-flash-spark

DeepSeek-V4.1-Flash on a single DGX Spark (GB10): resident hot experts + NVMe streaming, DSpark, OpenAI API. Work in progress.

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.

HengXin666 / freebuff-proxy

freebuff 反代 Docker 一键部署, 可用 deepseek-v4.1-flash(可识图), GPT 5.6 Luna, 牛来(gml-5.3 flash), gemini-3.8-flash, 支持配置代理, 多账号管理, 已支持新版额度消费模式, 超时自动中断会话, 防止额外扣费 [基于客户端新协议逆向]

0xSero / DeepSeek-V4.1-Flash-Two-Sparks

DeepSeek-V4.1-Flash on two DGX Sparks: EXL3 routed experts, 262k context, 2M-token KV, vision, tools, MTP, bundled with Pi

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

atbender / deepseek-v41-flash-mac-mini

Run original DeepSeek V4.1 Flash FP4/FP8 weights on a 16 GB M1 Mac mini with bounded SSD streaming in MLX. Recipe, benchmarks, and demo.

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。

wangjunjie92 / deepseek-v4-pro-unrestricted

DeepSeek v4 Pro 破甲提示词及测试包 — jailbreak prompts and test suite for DeepSeek

jayleaton / deepseek-v41-tensorfold-spark

DeepSeek-V4.1-Flash on 2x NVIDIA DGX Spark with the TensorFold engine: 1.8-1.9x code, 2.5x multi-stream, 1.7-1.95x prefill vs the vLLM kit, exact speculative decoding. Work in progress.

sybil-solutions / deepseek-v4.1-flash-4x-rtx-pro-6000

DeepSeek V4.1 Flash on 4x RTX PRO 6000 Blackwell: native weights, DSpark, vision, NVMe or locked RAM Engram offload.

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。

kejixiaoliang / awesome-dsh-plugins

DeepSeek Harness (DSH) 插件精选目录 — 14 类 280+ 个社区插件，覆盖 MCP / Skill / TUI / 多 Agent / 上下文记忆 / UI 皮肤，点链接直达仓库。Curated directory of dsh plugins for DeepSeek Harness.

knapcio / DeepSeek-V4.1-Flash-4x-DGX-Spark-TP4

Tuned TP4 serving profile for DeepSeek-V4.1-Flash on 4x NVIDIA DGX Spark (SGLang, DSpark), built on the MiaAI-Lab recipe

atharvotech / FreeDeepseekAPI-EN

Local OpenAI-compatible API proxy for DeepSeek Web Chat (Global English Version). Connects DeepSeek to Open WebUI, Claude Code, and OpenAI SDK tools. Maintained by Atharvotech.