<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Tiangong</title><description>The hub for robot and AI plays powered by local LLMs</description><link>https://spark.tlec.top/en/</link><language>en-us</language><item><title>Let your Agent publish local-model plays to Tiangong</title><link>https://spark.tlec.top/en/plays/agent-content-publishing/</link><guid isPermaLink="true">https://spark.tlec.top/en/plays/agent-content-publishing/</guid><description>Turn links and deployment notes into reviewed articles through the Tiangong content API.</description><pubDate>Sat, 31 Oct 2026 00:00:00 GMT</pubDate><category>plays</category><category>agent</category><category>publishing</category><category>automation</category></item><item><title>Why this site exists</title><link>https://spark.tlec.top/en/blog/hello/</link><guid isPermaLink="true">https://spark.tlec.top/en/blog/hello/</guid><description>Local models keep getting better, but the fun ways to use them are scattered across forums and group chats. I wanted one place to collect them.</description><pubDate>Sat, 31 Oct 2026 00:00:00 GMT</pubDate><category>blog</category><category>notes</category></item><item><title>About the news section</title><link>https://spark.tlec.top/en/news/news-section-launch/</link><guid isPermaLink="true">https://spark.tlec.top/en/news/news-section-launch/</guid><description>AI collects local-LLM deployment news daily from Reddit, Hacker News, GitHub Releases and more; items are filtered, summarized, translated and reviewed by a human before publishing.</description><pubDate>Sat, 31 Oct 2026 00:00:00 GMT</pubDate><category>news</category></item><item><title>A home ChatGPT with Ollama + Open WebUI</title><link>https://spark.tlec.top/en/plays/ollama-open-webui/</link><guid isPermaLink="true">https://spark.tlec.top/en/plays/ollama-open-webui/</guid><description>Get a multi-user, model-switching chat assistant with a web UI running on your own machine in ten minutes — usable from any phone on your LAN.</description><pubDate>Fri, 30 Oct 2026 00:00:00 GMT</pubDate><category>plays</category><category>getting-started</category><category>web-ui</category></item><item><title>Gemma-4-31B-Humanlike-Chat Released: Fine-Tuned for Natural Human-Like Voice</title><link>https://spark.tlec.top/en/news/gemma-4-31b-humanlike-chat-released-63cb1ecb/</link><guid isPermaLink="true">https://spark.tlec.top/en/news/gemma-4-31b-humanlike-chat-released-63cb1ecb/</guid><description>A fine-tuned version of Google&apos;s Gemma 4 31B optimized for natural human conversation style and voice, with GGUF, Safetensors, FP8, and GPTQ-Int4 weights available for local deployment.</description><pubDate>Fri, 30 Oct 2026 00:00:00 GMT</pubDate><category>news</category><category>Gemma</category><category>LLM</category><category>GGUF</category><category>vLLM</category><category>Fine-tune</category></item><item><title>Unsloth Releases DeepSeek-V4.1-Flash Dynamic v3.1 GGUFs</title><link>https://spark.tlec.top/en/news/introducing-deepseek-v41-flash-1017-dynamic-v31-unsloth-gguf-6b1222de/</link><guid isPermaLink="true">https://spark.tlec.top/en/news/introducing-deepseek-v41-flash-1017-dynamic-v31-unsloth-gguf-6b1222de/</guid><description>Unsloth introduces DeepSeek-V4.1-1017 Dynamic v3.1 preview GGUFs featuring high accuracy retention across benchmarks, alongside Unsloth Desktop updates.</description><pubDate>Fri, 30 Oct 2026 00:00:00 GMT</pubDate><category>news</category><category>Unsloth</category><category>DeepSeek</category><category>GGUF</category><category>Quantization</category><category>Local LLM</category></item><item><title>ISTA DeepSeek-V4.1-Flash Quantization Benchmark Comparison Clarification</title><link>https://spark.tlec.top/en/news/ista-deepseek-v41-flash-1017-gsqrco-quants-comparison-bcca3978/</link><guid isPermaLink="true">https://spark.tlec.top/en/news/ista-deepseek-v41-flash-1017-gsqrco-quants-comparison-bcca3978/</guid><description>ISTA addresses benchmark discrepancies with Unsloth regarding DeepSeek-V4.1-Flash-1017, highlighting the impact of reasoning budget limits.</description><pubDate>Fri, 30 Oct 2026 00:00:00 GMT</pubDate><category>news</category><category>DeepSeek</category><category>Quantization</category><category>LLM</category><category>Benchmark</category></item><item><title>Google&apos;s Project Suncatcher Satellite Successfully Runs Gemma Locally in Space</title><link>https://spark.tlec.top/en/news/local-ai-made-it-to-space-gemma-tpu-66b99d03/</link><guid isPermaLink="true">https://spark.tlec.top/en/news/local-ai-made-it-to-space-gemma-tpu-66b99d03/</guid><description>Google confirmed that its Project Suncatcher satellite successfully ran a Gemma model on an onboard TPU in space and transmitted its first generated response back to Earth.</description><pubDate>Fri, 30 Oct 2026 00:00:00 GMT</pubDate><category>news</category><category>Google</category><category>Gemma</category><category>Edge AI</category><category>TPU</category></item><item><title>MOSS Team Reddit AMA: Overview of Open Model Family and Local Resources</title><link>https://spark.tlec.top/en/news/moss-team-ama-local-llama-2b1877ce/</link><guid isPermaLink="true">https://spark.tlec.top/en/news/moss-team-ama-local-llama-2b1877ce/</guid><description>The MOSS team from Fudan University and the Shanghai Innovation Institute hosted an AMA on Reddit, showcasing their open-source model family spanning image generation, speech synthesis, audio, and visual understanding.</description><pubDate>Fri, 30 Oct 2026 00:00:00 GMT</pubDate><category>news</category><category>MOSS</category><category>Open Source</category><category>Text-to-Image</category><category>TTS</category><category>Multimodal</category></item><item><title>SenseNova-Loop-9B-Preview Multimodal Model Released</title><link>https://spark.tlec.top/en/news/sensenova-loop-9b-preview-40479274/</link><guid isPermaLink="true">https://spark.tlec.top/en/news/sensenova-loop-9b-preview-40479274/</guid><description>SenseNova-Loop-9B-Preview is a multimodal language model designed for long-context and agentic workflows, featuring a shared looped decoder and two-stream manifold-constrained hyper-connections (mHC).</description><pubDate>Fri, 30 Oct 2026 00:00:00 GMT</pubDate><category>news</category><category>multimodal</category><category>open-weight</category><category>long-context</category><category>agent</category></item><item><title>Sketch Stadium: Let Your AI Agent Play Pictionary via MCP and Push Notifications</title><link>https://spark.tlec.top/en/news/sketch-stadium-ai-agent-pictionary-ec56c328/</link><guid isPermaLink="true">https://spark.tlec.top/en/news/sketch-stadium-ai-agent-pictionary-ec56c328/</guid><description>A new tech demo called Sketch Stadium allows AI agents to play Pictionary using a subset of SVG, showcasing the Wakeshift SDK for agent push notifications and MCP integration.</description><pubDate>Fri, 30 Oct 2026 00:00:00 GMT</pubDate><category>news</category><category>Agent</category><category>MCP</category><category>Wakeshift</category><category>SVG</category><category>Push Notifications</category></item><item><title>Upgrade Flash Next to DFlash2 in llama.cpp for ~17% Speed Boost</title><link>https://spark.tlec.top/en/news/upgrade-flash-next-to-dflash2-6ac0e32f/</link><guid isPermaLink="true">https://spark.tlec.top/en/news/upgrade-flash-next-to-dflash2-6ac0e32f/</guid><description>With llama.cpp now supporting DFlash2 for Qwen3.8-Flash-Next, local decode speeds improve by an average of 17% while draft head size shrinks to ~350MB.</description><pubDate>Fri, 30 Oct 2026 00:00:00 GMT</pubDate><category>news</category><category>llama.cpp</category><category>Qwen</category><category>DFlash2</category><category>Apple Silicon</category><category>GGUF</category></item><item><title>A fully offline coding assistant in VS Code</title><link>https://spark.tlec.top/en/plays/local-coding-assistant/</link><guid isPermaLink="true">https://spark.tlec.top/en/plays/local-coding-assistant/</guid><description>Connect the Continue extension to a local Ollama model so completions and chat never leave your machine — great when company code can&apos;t go to the cloud.</description><pubDate>Wed, 28 Oct 2026 00:00:00 GMT</pubDate><category>plays</category><category>offline</category><category>privacy</category></item><item><title>Turn your documents into a Q&amp;A knowledge base with AnythingLLM</title><link>https://spark.tlec.top/en/plays/anythingllm-knowledge-base/</link><guid isPermaLink="true">https://spark.tlec.top/en/plays/anythingllm-knowledge-base/</guid><description>One-click desktop install, wired to a local model and a local vector store — drop in PDFs, web pages and notes and start asking.</description><pubDate>Sun, 25 Oct 2026 00:00:00 GMT</pubDate><category>plays</category><category>RAG</category><category>knowledge-base</category></item></channel></rss>