Model Releases

  • Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF — 🤖 Quantized Qwen3.8‑27B variant optimized for low‑latency reasoning and code generation on consumer gear, using multi‑stage thinking and MTP heads. Trained via unsloth’s fine‑tuning with quantization‑aware tweaks.
  • ERNIE-5.5-Flash-Base — 📚 An Moe transformer with fp8 weights that supports long‑context prompts in both Chinese and English. Backed by multiple arXiv preprints and ready for scalable edge deployment.
  • P-H3-Image — 🎨 A diffusion pipeline built on Minimax‑H3 and modular‑diffusers, delivering text‑to‑image and image‑to‑image outputs. Includes prompt upsampling and quantization so you can spin up research prototypes or production flows quickly.

Open Source Releases

  • ruvnet/RuView — 📶 Turns cheap Wi‑Fi signals into real‑time spatial intelligence, detecting presence and basic vitals—no extra camera or video hardware required. Ideal for RF‑based IoT and smart‑home sensing.
  • anthropics/claude-code v2.1.321 Release — 🔥 Now defaults to Claude Fable.

Today’s Synthesis

Build a privacy-first edge copilot around Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF and ruvnet/RuView . The quantized Qwen variant is tuned for low-latency reasoning and code generation on consumer gear, with multi-stage thinking and MTP heads, so it can run locally for context-aware assistants. RuView turns cheap Wi-Fi signals into real-time spatial intelligence, presence detection, and basic vitals without cameras. The actionable combo: deploy RuView on edge sensors, collect anonymized Wi-Fi and occupancy events, then feed those into a local Qwen reasoning loop via function calling or a small RAG pipeline for alert triage, summaries, or on-device assistant responses. Tune the Qwen GGUF with MTP sampling and quantization-aware settings, keep tool schemas narrow, and use RuView events as triggers. That gives you private, low-latency behavior without shipping camera hardware. Start with one room or zone. Keep latency under your alert SLA and measure p95 before expanding. If multilingual coverage matters, slot in ERNIE-5.5-Flash-Base for long-context fp8 Chinese/English workloads, but the first engineer-actionable prototype is a local Qwen-plus-RuView edge copilot.