DSV4.1-Flash-1017 SAGE EXL3 (1.62 bpw) on one DGX Spark with vLLM: DSpark MTP, cold-expert ATS alias, tile-K 16 MoE, memory guard, measured 31-34 tok/s
Local MTProto proxy server for partial bypassing of Telegram loading
Insular email distribution - mail server as Docker images
The fastest way to run Qwen 3.8 Flash Next, Qwen 3.8 27B and Ternary Bonsai 2 27B on a Mac: 125 tok/s in OpenCode on an M5 Max, and a 27B model on 16 GB Macs. Native MTP speculative decoding on Apple Silicon, exact at any temperature. OpenAI and Anthropic compatible local server.
🛡️ Автоматический сборщик MTProto‑прокси с уникальной фильтрацией «Умный комбайн» для автоматического сбора, анализа и фильтрации MTProto‑прокси. Отделяет **"золотые" прокси**, маскирующиеся под Yandex, VK, Gosuslugi и другие популярные RU‑сервисы (Fake‑TLS), от обычных.
One llama.cpp flag unlocks +33-39% decode speed for Qwen3.8-27B on consumer GPUs. The MTP head already ships inside your GGUF. Recipe, paired benchmarks, probe tool.
Qwen3.8-Flash-Next (NVFP4) on DGX Spark in vLLM: one Spark 43.9 tok/s with our disk-backed n-gram table patch, staged gather and reduced-vocab MTP draft; TP2 SPEED 53.7; TP4 CONTEXT 9M KV pool. Launchers, patch, 40-prompt harness, KV ledger, credits. SGLang TP2 day-0 lane kept.
Qwen 3.8 27B at 48-65 tok/s on a Mac Studio M4 Max — measured oMLX native-MTP recipe, same-day A/B vs mlx-vlm+MTP sidecar, raw benchmark JSON included
Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server: a mail server in a box.
Event-driven networking engine written in Python.
This is an Open source intelligent framework ie an osint tool which gathers valid information about a phone number, user's email address, perform VIN Osint, and reverse, perform subdomain enumeration, able to find email from a name, and so much more. Best osint tool for Termux and linux
Open-source email infrastructure for AI agents: secure inboxes, REST and MCP APIs, SMTP, human approval workflows, signed webhooks, and Python and TypeScript SDKs. Self-host with Docker and PostgreSQL.
An IMAP/POP/SMTP proxy that transparently adds OAuth 2.0 authentication for email clients that don't support this method. Keep legacy email clients working with Exchange Online, Gmail and other providers.
A Python package and CLI for parsing aggregate and forensic DMARC reports
Kurigram — actively maintained Pyrogram fork with support for Gifts, Stories, Topics, business features and the latest Telegram updates.
A unified, torch-native training framework for MTP and block-parallel speculative decoding.
Qwen 3.8 27B ROCmFP4 on AMD Strix Halo (Ryzen AI Max+ 395). Up to 36 tok/s via MTP Speculation, TurboQuant & Mesa RADV Wave64.
GLM-5.3-Flash (NVFP4) on 2x NVIDIA DGX Spark - vLLM TP2, 262K context, MTP. World-first deploy recipe: 7 day-0 bugs found and fixed, patched sm121 image, probes and full report.
Open recipes, engine patches, and benchmark harnesses for LLM inference on Intel Arc Pro B60/B70 (Battlemage, Xe2). MoE 35B at 160 t/s decode / 7.5K t/s prefill single-stream, 27B at 50~ t/s decode / 1.7K t/s prefill single stream. vLLM XPU MTP unlocked. Muse Glimmer recipe added!!
Qwen3.8-Flash-Next on 2× RTX 3090: with 128 GB RAM up to 4,191 tok/s prefill · 111.5 tok/s decode (131K prompt), full 256K window at 2,865 tok/s; with 64 GB RAM 3,410 tok/s prefill · 84 tok/s decode. New: opt-in uncensored mode (runtime abliteration, no new weights).
Mirai S (Qwen3.8-27B-S trellis GGUF) on a 12 GB RTX 4070: 262k q8_0 tiered cache, MTP drafting at every depth, harness-proofing, the layer; receipts.
Validated GLM-5.3 Flash recipe for 2x NVIDIA RTX PRO 6000 Blackwell 96GB: 262K context, EXL3/TR3, adaptive MTP, tools, and vision.
GLM-5.3-Flash (320B MoE) at TP4 across four DGX Sparks, same day as the model drop: 36 tok/s, 1.26M-token FP8 KV pool, 262K context, MTP spec decode. First TP4 glm5_next outside B200 hardware. Full patched-image recipe + the GB10 memory study.
Reproducible Qwen3.8-27B GPTQ INT4 + MTP4 inference on Intel Arc Pro B70 using vLLM XPU — 84.65 tok/s median.
🔍 Stop refreshing LinkedIn. This pipeline scrapes new job listings based on your settings, uses AI agents to summarize each one and score it against your CV, then delivers only the best matches straight to your inbox 📬 — so you're always first to apply 🚀
Serve Ornith-1.5-35B-A3B (NVFP4 + in-checkpoint MTP, 256k ctx) on one DGX Spark — vLLM b12x recipe plus CUDA-graph fixes.
A native macOS application for safely installing and managing maps on Garmin smartwatches via MTP.
DeepSeek-V4.1-Flash on 4x DGX Spark TP4 switchless RoCE ring - SGLang production recipe, 600K context, DSpark MTP, benchmark archive
Ornith-1.5-35B-A3B (NVFP4 + FP8 + MTP) on NVIDIA DGX Spark (GB10)
双 SM80 / CMP 170HX 的 Qwen3.8-Flash-Next 社区 vLLM:NVIDIA NVFP4、GDS、TEP2、MTP6,支持 1~10 并发,词表与 PCIe 通信优化。中英文部署与可构建源码。
ComfyUI nodes for Qwen-Image 2.1's official prompt enhancer, run with llama.cpp or natively in ComfyUI, with MTP speculative decoding for faster generation.
Qwen3.8-27B NVFP4 (W4A16 shipped recipe) + MTP on NVIDIA DGX Spark GB10/SM121 — vLLM v0.27.2rc0, FP8 KV, 262K context, full reproducibility pack
vLLM recipe: GLM-5.3-Flash EXL3 K2 on one DGX Spark GB10. Native MTP k=2. Measured tok/s.
Send email in Python conveniently for gmail using yagmail