<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
  <title>Techyon - AI News Aggregator</title>
  <link href="/" rel="alternate" type="text/html"/>
  <link href="/feed.xml" rel="self" type="application/atom+xml"/>
  <id>/</id>
  <updated>2026-05-23T14:27:43Z</updated>
  
  <entry>
    <title>databricks-solutions /ai-dev-kit</title>
    <link href="/posts/databricks-solutions-ai-dev-kit.html" rel="alternate" type="text/html"/>
    <id>/posts/databricks-solutions-ai-dev-kit.html</id>
    <published>2026-05-23T14:19:37Z</published>
    <updated>2026-05-23T14:19:37Z</updated>
    <author><name>databricks-solutions</name></author>
    <source>github-trending/python</source>
    
    <summary type="text">Databricks AI Dev Kit for Coding Agents Databricks Solutions Releases AI Dev Kit for Advanced Coding Agents Databricks Solutions has introduced a specialized AI Development Kit designed to empower developers and research…</summary>
    
  </entry>
  
  <entry>
    <title>Building a Hybrid Local/Cloud Coding Agent for 5 Devs — Are 2x RTX 3090 Enough for 64k Context?</title>
    <link href="/posts/building-a-hybrid-localcloud-coding-agent-for-5-devs-are-2x-rtx-3090-enough-for-64k-context.html" rel="alternate" type="text/html"/>
    <id>/posts/building-a-hybrid-localcloud-coding-agent-for-5-devs-are-2x-rtx-3090-enough-for-64k-context.html</id>
    <published>2026-05-23T14:19:37Z</published>
    <updated>2026-05-23T14:19:37Z</updated>
    <author><name>u/PuzzleheadedFrame836</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">Hybrid AI Coding Agent Architecture Designing a Hybrid Local/Cloud Coding Agent for Scalable Development Workflows This article reviews a proposed architecture for a hybrid AI coding workflow designed to support a small …</summary>
    
  </entry>
  
  <entry>
    <title>I built a powerful RAG and knowledge graph agent that actually runs locally</title>
    <link href="/posts/i-built-a-powerful-rag-and-knowledge-graph-agent-that-actually-runs-locally.html" rel="alternate" type="text/html"/>
    <id>/posts/i-built-a-powerful-rag-and-knowledge-graph-agent-that-actually-runs-locally.html</id>
    <published>2026-05-23T14:19:37Z</published>
    <updated>2026-05-23T14:19:37Z</updated>
    <author><name>u/AI-research-byGB</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">Local Deployment of Advanced RAG and Knowledge Graph Agents A new project has been presented detailing the construction of a powerful agent that integrates Retrieval-Augmented Generation (RAG) with a knowledge graph (KG)…</summary>
    
  </entry>
  
  <entry>
    <title>[R] SERR-CASCADE: Hierarchical risk-aware architecture for LLM inference (paper simulation, 4-25× speedup, with validation roadmap)</title>
    <link href="/posts/r-serr-cascade-hierarchical-risk-aware-architecture-for-llm-inference-paper-simulation-4-25-speedup-with-validation-roadmap.html" rel="alternate" type="text/html"/>
    <id>/posts/r-serr-cascade-hierarchical-risk-aware-architecture-for-llm-inference-paper-simulation-4-25-speedup-with-validation-roadmap.html</id>
    <published>2026-05-23T14:19:37Z</published>
    <updated>2026-05-23T14:19:37Z</updated>
    <author><name>u/fhard007</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">SERR-CASCADE: Hierarchical, Risk-Aware Architecture for Multi-Bottleneck LLM Inference Optimization SERR-CASCADE introduces a novel, coordinated hierarchical architecture designed to address the multiplicative performanc…</summary>
    
  </entry>
  
  <entry>
    <title>IMG Dataset Refiner v4.3 Pro is here! 🚀 The ultimate dataset prep tool for LoRAs</title>
    <link href="/posts/img-dataset-refiner-v43-pro-is-here-the-ultimate-dataset-prep-tool-for-loras.html" rel="alternate" type="text/html"/>
    <id>/posts/img-dataset-refiner-v43-pro-is-here-the-ultimate-dataset-prep-tool-for-loras.html</id>
    <published>2026-05-23T14:19:37Z</published>
    <updated>2026-05-23T14:19:37Z</updated>
    <author><name>u/nicolas1801</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">IMG Dataset Refiner v4.3 Pro: A Professional Data Engineering Suite for LoRA Training The release of IMG Dataset Refiner v4.3 Pro marks a significant advancement in the preparation pipeline for generative AI models. This…</summary>
    
  </entry>
  
  <entry>
    <title>Models.dev: open-source database of AI model specs, pricing, and capabilities</title>
    <link href="/posts/modelsdev-open-source-database-of-ai-model-specs-pricing-and-capabilities.html" rel="alternate" type="text/html"/>
    <id>/posts/modelsdev-open-source-database-of-ai-model-specs-pricing-and-capabilities.html</id>
    <published>2026-05-23T14:19:37Z</published>
    <updated>2026-05-23T14:19:37Z</updated>
    <author><name>u/maxloh</name></author>
    <source>hackernews</source>
    
    <summary type="text">Models.dev: A Centralized, Open-Source Registry for AI Model Metadata and Commercial Specifications Models.dev introduces a crucial open-source database designed to aggregate detailed specifications, pricing structures, …</summary>
    
  </entry>
  
  <entry>
    <title>Microsoft starts canceling Claude Code licenses</title>
    <link href="/posts/microsoft-starts-canceling-claude-code-licenses.html" rel="alternate" type="text/html"/>
    <id>/posts/microsoft-starts-canceling-claude-code-licenses.html</id>
    <published>2026-05-23T14:19:37Z</published>
    <updated>2026-05-23T14:19:37Z</updated>
    <author><name>u/robertkarl</name></author>
    <source>hackernews</source>
    
    <summary type="text">Discontinuation of Claude Code Licensing by Microsoft: Implications for Developer Ecosystems Microsoft has initiated the cancellation of Claude Code licenses, a significant shift impacting developer workflows utilizing A…</summary>
    
  </entry>
  
  <entry>
    <title>AI has a multiplying effect on existing technical skills</title>
    <link href="/posts/ai-has-a-multiplying-effect-on-existing-technical-skills.html" rel="alternate" type="text/html"/>
    <id>/posts/ai-has-a-multiplying-effect-on-existing-technical-skills.html</id>
    <published>2026-05-23T14:19:37Z</published>
    <updated>2026-05-23T14:19:37Z</updated>
    <author><name>u/moebrowne</name></author>
    <source>hackernews</source>
    
    <summary type="text">The Synergistic Impact of AI on Technical Skill Augmentation This analysis explores the premise that Artificial Intelligence technologies function not merely as tools, but as powerful multipliers, significantly amplifyin…</summary>
    
  </entry>
  
  <entry>
    <title>Antigravity 2.0 Tops the OpenSCAD Architectural 3D LLM Benchmark</title>
    <link href="/posts/antigravity-20-tops-the-openscad-architectural-3d-llm-benchmark.html" rel="alternate" type="text/html"/>
    <id>/posts/antigravity-20-tops-the-openscad-architectural-3d-llm-benchmark.html</id>
    <published>2026-05-23T14:19:37Z</published>
    <updated>2026-05-23T14:19:37Z</updated>
    <author><name>u/jetter</name></author>
    <source>hackernews</source>
    
    <summary type="text">Antigravity 2.0 Achieves State-of-the-Art Performance on OpenSCAD Architectural 3D LLM Benchmark The Antigravity 2.0 model has demonstrated superior performance when evaluated against the OpenSCAD Architectural 3D LLM Be…</summary>
    
  </entry>
  
  <entry>
    <title>How AI-Generated Documents from Deskrib.Ai Can Actually Help You Work Smarter (and Breathe Easier)</title>
    <link href="/posts/how-ai-generated-documents-from-deskribai-can-actually-help-you-work-smarter-and-breathe-easier.html" rel="alternate" type="text/html"/>
    <id>/posts/how-ai-generated-documents-from-deskribai-can-actually-help-you-work-smarter-and-breathe-easier.html</id>
    <published>2026-05-23T14:12:37Z</published>
    <updated>2026-05-23T14:12:37Z</updated>
    <author><name>DeskribAI</name></author>
    <source>medium</source>
    
    <summary type="text">There&amp;#x2019;s a particular kind of tired that comes not from working hard, but from working on the wrong things. You know the feeling. You sit&amp;#x2026;Continue reading on Medium »</summary>
    
  </entry>
  
  <entry>
    <title>warpdotdev /warp</title>
    <link href="/posts/warpdotdev-warp.html" rel="alternate" type="text/html"/>
    <id>/posts/warpdotdev-warp.html</id>
    <published>2026-05-23T14:12:37Z</published>
    <updated>2026-05-23T14:12:37Z</updated>
    <author><name>warpdotdev</name></author>
    <source>github-trending/rust</source>
    
    <summary type="text">Warp is an agentic development environment, born out of the terminal.</summary>
    
  </entry>
  
  <entry>
    <title>plastic-labs /honcho</title>
    <link href="/posts/plastic-labs-honcho.html" rel="alternate" type="text/html"/>
    <id>/posts/plastic-labs-honcho.html</id>
    <published>2026-05-23T14:12:37Z</published>
    <updated>2026-05-23T14:12:37Z</updated>
    <author><name>plastic-labs</name></author>
    <source>github-trending/python</source>
    
    <summary type="text">Memory library for building stateful agents</summary>
    
  </entry>
  
  <entry>
    <title>I built a powerful RAG and knowledge graph agent that actually runs locally</title>
    <link href="/posts/i-built-a-powerful-rag-and-knowledge-graph-agent-that-actually-runs-locally.html" rel="alternate" type="text/html"/>
    <id>/posts/i-built-a-powerful-rag-and-knowledge-graph-agent-that-actually-runs-locally.html</id>
    <published>2026-05-23T14:12:37Z</published>
    <updated>2026-05-23T14:12:37Z</updated>
    <author><name>u/AI-research-byGB</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">(No description available)</summary>
    
  </entry>
  
  <entry>
    <title>I built a local MCP server that gives AI agents on-device Vision OCR no cloud, no API keys</title>
    <link href="/posts/i-built-a-local-mcp-server-that-gives-ai-agents-on-device-vision-ocr-no-cloud-no-api-keys.html" rel="alternate" type="text/html"/>
    <id>/posts/i-built-a-local-mcp-server-that-gives-ai-agents-on-device-vision-ocr-no-cloud-no-api-keys.html</id>
    <published>2026-05-23T14:12:37Z</published>
    <updated>2026-05-23T14:12:37Z</updated>
    <author><name>u/DeChilli</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">[Demo of how it works](https://i.redd.it/y1izxx6xfu2h1.gif)

I got tired of sending documents and images to cloud APIs just to extract text, so I built [VisionMCP](https://github.com/br3akzero/vision.</summary>
    
  </entry>
  
  <entry>
    <title>Qwen3.6 27B Pure Quant: 40 tok/s on 16 GB VRAM</title>
    <link href="/posts/qwen36-27b-pure-quant-40-toks-on-16-gb-vram.html" rel="alternate" type="text/html"/>
    <id>/posts/qwen36-27b-pure-quant-40-toks-on-16-gb-vram.html</id>
    <published>2026-05-23T14:12:37Z</published>
    <updated>2026-05-23T14:12:37Z</updated>
    <author><name>u/bobaburger</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">Hello everyone!

I want to share the result of my experiment to make **Qwen3.6 27B** **Q4\_K\_M** fits in to my RTX 5060 Ti 16 GB. Inspired by u/Due-Project-7507&#39;s work on [Ununnilium/Qwen3.6-27B-IQ4\</summary>
    
  </entry>
  
  <entry>
    <title>Qwen3.6-35B-A3B Q4 262k context on 8GB 3070 Ti = +30tps</title>
    <link href="/posts/qwen36-35b-a3b-q4-262k-context-on-8gb-3070-ti-30tps.html" rel="alternate" type="text/html"/>
    <id>/posts/qwen36-35b-a3b-q4-262k-context-on-8gb-3070-ti-30tps.html</id>
    <published>2026-05-23T14:12:37Z</published>
    <updated>2026-05-23T14:12:37Z</updated>
    <author><name>u/Alternative-Cat-1347</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">..and on 8GB VRAM I can even push the context to 320K, 400K, 512K, and yes.. 1M. But it does start to slow down noticeably beyond 150k so I&#39;d only do this if I ever really want the larger context.

Th</summary>
    
  </entry>
  
  <entry>
    <title>ByteShape Qwen3.6-35B-A3B: 30% faster than Unsloth IQ on 6GB VRAM laptop</title>
    <link href="/posts/byteshape-qwen36-35b-a3b-30-faster-than-unsloth-iq-on-6gb-vram-laptop.html" rel="alternate" type="text/html"/>
    <id>/posts/byteshape-qwen36-35b-a3b-30-faster-than-unsloth-iq-on-6gb-vram-laptop.html</id>
    <published>2026-05-23T14:12:37Z</published>
    <updated>2026-05-23T14:12:37Z</updated>
    <author><name>u/OsmanthusBloom</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">A few days ago I posted about my experiments with MTP on a 6GB VRAM laptop. That didn&#39;t work so well; CPU offload hurts MTP performance badly. But now I&#39;ve tried out the [new ByteShape quants](https:/</summary>
    
  </entry>
  
  <entry>
    <title>Scientific Proof Why AGI Cannot Be Achieved by OpenAI, Anthropic or Google</title>
    <link href="/posts/scientific-proof-why-agi-cannot-be-achieved-by-openai-anthropic-or-google.html" rel="alternate" type="text/html"/>
    <id>/posts/scientific-proof-why-agi-cannot-be-achieved-by-openai-anthropic-or-google.html</id>
    <published>2026-05-23T14:05:04Z</published>
    <updated>2026-05-23T14:05:04Z</updated>
    <author><name>Lance Ng</name></author>
    <source>medium</source>
    
    <summary type="text">Big Tech is spending $700 billion a year chasing Artificial General Intelligence. The physics says they will never get there &amp;#x2014; not because&amp;#x2026;Continue reading on Medium »</summary>
    
  </entry>
  
  <entry>
    <title>perspective-dev /perspective</title>
    <link href="/posts/perspective-dev-perspective.html" rel="alternate" type="text/html"/>
    <id>/posts/perspective-dev-perspective.html</id>
    <published>2026-05-23T14:05:04Z</published>
    <updated>2026-05-23T14:05:04Z</updated>
    <author><name>perspective-dev</name></author>
    <source>github-trending/rust</source>
    
    <summary type="text">A data visualization and analytics component, especially well-suited for large and/or streaming datasets.</summary>
    
  </entry>
  
  <entry>
    <title>ai-dynamo /dynamo</title>
    <link href="/posts/ai-dynamo-dynamo.html" rel="alternate" type="text/html"/>
    <id>/posts/ai-dynamo-dynamo.html</id>
    <published>2026-05-23T14:05:04Z</published>
    <updated>2026-05-23T14:05:04Z</updated>
    <author><name>ai-dynamo</name></author>
    <source>github-trending/rust</source>
    
    <summary type="text">A Datacenter Scale Distributed Inference Serving Framework</summary>
    
  </entry>
  
  <entry>
    <title>Exposing /v1/embeddings natively on Android without Termux! Custom Fork for SillyTavern RAG</title>
    <link href="/posts/exposing-v1embeddings-natively-on-android-without-termux-custom-fork-for-sillytavern-rag.html" rel="alternate" type="text/html"/>
    <id>/posts/exposing-v1embeddings-natively-on-android-without-termux-custom-fork-for-sillytavern-rag.html</id>
    <published>2026-05-23T14:05:04Z</published>
    <updated>2026-05-23T14:05:04Z</updated>
    <author><name>u/allenjarilla</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">(No description available)</summary>
    
  </entry>
  
  <entry>
    <title>Free Google search MCP for local LLMs (no API key, no SerpAPI, runs Playwright on your box)</title>
    <link href="/posts/free-google-search-mcp-for-local-llms-no-api-key-no-serpapi-runs-playwright-on-your-box.html" rel="alternate" type="text/html"/>
    <id>/posts/free-google-search-mcp-for-local-llms-no-api-key-no-serpapi-runs-playwright-on-your-box.html</id>
    <published>2026-05-23T14:05:04Z</published>
    <updated>2026-05-23T14:05:04Z</updated>
    <author><name>u/GarrixMrtin</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">local models can&#39;t search. paid options want API keys (SerpAPI free tier is tiny), and the 6 free Google search MCPs I tested all failed. so I wrote one.

drives a warm Chrome profile via Playwright. </summary>
    
  </entry>
  
  <entry>
    <title>Experimental &#34;Preserve Thinking&#34; Jinja Template for Gemma4 31B in llama.cpp</title>
    <link href="/posts/experimental-preserve-thinking-jinja-template-for-gemma4-31b-in-llamacpp.html" rel="alternate" type="text/html"/>
    <id>/posts/experimental-preserve-thinking-jinja-template-for-gemma4-31b-in-llamacpp.html</id>
    <published>2026-05-23T14:05:04Z</published>
    <updated>2026-05-23T14:05:04Z</updated>
    <author><name>u/ggonavyy</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">[https://huggingface.co/stevelikesrhino/gemma-4-31B-it-nvfp4-GGUF/blob/main/gemma4-improved.jinja](https://huggingface.co/stevelikesrhino/gemma-4-31B-it-nvfp4-GGUF/blob/main/gemma4-improved.jinja)

Ya</summary>
    
  </entry>
  
  <entry>
    <title>meituan-longcat/LongCat-Video-Avatar-1.5 · Hugging Face</title>
    <link href="/posts/meituan-longcatlongcat-video-avatar-15-hugging-face.html" rel="alternate" type="text/html"/>
    <id>/posts/meituan-longcatlongcat-video-avatar-15-hugging-face.html</id>
    <published>2026-05-23T14:05:04Z</published>
    <updated>2026-05-23T14:05:04Z</updated>
    <author><name>u/pmttyji</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text"># 🚀 Model Introduction

We are excited to announce the release of LongCat-Video-Avatar 1.5, an upgraded open-source framework that prioritizes extreme empirical optimization and production-readiness f</summary>
    
  </entry>
  
  <entry>
    <title>OpenBMB presents the model BitCPM-CANN 1.58 bit</title>
    <link href="/posts/openbmb-presents-the-model-bitcpm-cann-158-bit.html" rel="alternate" type="text/html"/>
    <id>/posts/openbmb-presents-the-model-bitcpm-cann-158-bit.html</id>
    <published>2026-05-23T14:05:04Z</published>
    <updated>2026-05-23T14:05:04Z</updated>
    <author><name>u/Illustrious-Swim9663</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">Se están probando los modelos nuevos en el Huawei Ascend 910B

Link : https://x.com/i/status/2057816337880355220</summary>
    
  </entry>
  
  <entry>
    <title>Gemini 3.5 Flash Has a 1M Token Context Window. Here&#39;s What You Can Actually Build With It.</title>
    <link href="/posts/gemini-35-flash-has-a-1m-token-context-window-heres-what-you-can-actually-build-with-it.html" rel="alternate" type="text/html"/>
    <id>/posts/gemini-35-flash-has-a-1m-token-context-window-heres-what-you-can-actually-build-with-it.html</id>
    <published>2026-05-23T14:04:00Z</published>
    <updated>2026-05-23T14:04:00Z</updated>
    <author><name>pulkitgovrani</name></author>
    <source>dev.to</source>
    
    <summary type="text">This is a submission for the Google I/O Writing Challenge




&#34;1 million token context window&#34; sits in every I/O recap summary. Then people move on.

It sounds like a spec-sheet number — impressive in</summary>
    
  </entry>
  
  <entry>
    <title>vercel-labs /agent-browser</title>
    <link href="/posts/vercel-labs-agent-browser.html" rel="alternate" type="text/html"/>
    <id>/posts/vercel-labs-agent-browser.html</id>
    <published>2026-05-23T14:04:00Z</published>
    <updated>2026-05-23T14:04:00Z</updated>
    <author><name>vercel-labs</name></author>
    <source>github-trending/rust</source>
    
    <summary type="text">Browser automation CLI for AI agents</summary>
    
  </entry>
  
  <entry>
    <title>mukul975 /Anthropic-Cybersecurity-Skills</title>
    <link href="/posts/mukul975-anthropic-cybersecurity-skills.html" rel="alternate" type="text/html"/>
    <id>/posts/mukul975-anthropic-cybersecurity-skills.html</id>
    <published>2026-05-23T14:04:00Z</published>
    <updated>2026-05-23T14:04:00Z</updated>
    <author><name>mukul975</name></author>
    <source>github-trending/python</source>
    
    <summary type="text">754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&amp;CK, NIST CSF 2.0, MITRE ATLAS, D3FEND &amp; NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Cop</summary>
    
  </entry>
  
  <entry>
    <title>First AI to Beat Every Human in a Programming Competition - Agentic GRPO Explained</title>
    <link href="/posts/first-ai-to-beat-every-human-in-a-programming-competition---agentic-grpo-explained.html" rel="alternate" type="text/html"/>
    <id>/posts/first-ai-to-beat-every-human-in-a-programming-competition---agentic-grpo-explained.html</id>
    <published>2026-05-23T14:04:00Z</published>
    <updated>2026-05-23T14:04:00Z</updated>
    <author><name>u/VR-Person</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">* Traditional RL for LLMs treats one answer as one trajectory:
   * prompt &amp;gt; reasoning &amp;gt; final answer &amp;gt; reward
* Agentic systems are different:
   * they call tools
   * generate hypotheses
 </summary>
    
  </entry>
  
  <entry>
    <title>G4-MeroMero-26B-A4B-it-uncensored-heretic Is Out Now, a Finetune of gemma-4-26B-A4B-it, With KLD of 0.0152 and 12/100 Refusals!</title>
    <link href="/posts/g4-meromero-26b-a4b-it-uncensored-heretic-is-out-now-a-finetune-of-gemma-4-26b-a4b-it-with-kld-of-00152-and-12100-refusals.html" rel="alternate" type="text/html"/>
    <id>/posts/g4-meromero-26b-a4b-it-uncensored-heretic-is-out-now-a-finetune-of-gemma-4-26b-a4b-it-with-kld-of-00152-and-12100-refusals.html</id>
    <published>2026-05-23T14:04:00Z</published>
    <updated>2026-05-23T14:04:00Z</updated>
    <author><name>u/LLMFan46</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">When I previously posted the uncensored version of the 31B version of the MeroMero finetune, quite a few people asked for the 26B-A4B version, I wasn&#39;t so keen on it because I considered the 31B to be</summary>
    
  </entry>
  
  <entry>
    <title>Can&#39;t believe I got it working!  Dual GPU - 48gb VRAM llama-cpp server - R7900 + 7800XT</title>
    <link href="/posts/cant-believe-i-got-it-working-dual-gpu---48gb-vram-llama-cpp-server---r7900-7800xt.html" rel="alternate" type="text/html"/>
    <id>/posts/cant-believe-i-got-it-working-dual-gpu---48gb-vram-llama-cpp-server---r7900-7800xt.html</id>
    <published>2026-05-23T14:04:00Z</published>
    <updated>2026-05-23T14:04:00Z</updated>
    <author><name>u/Jorlen</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">Setup:  Kubuntu 24.04 - AMD cards - R9700 AI PRO and 7800xt (32gb + 16gb) - llama-cpp server - stack setup in docker - vulkan image

I tried with ROCM but it wouldn&#39;t play nice with RDNA4 + RDNA3 mix.</summary>
    
  </entry>
  
  <entry>
    <title>Qwen-27B-IQ4_KS for ik_llama.cpp, especially for NVIDIA with 16GB VRAM</title>
    <link href="/posts/qwen-27b-iq4-ks-for-ik-llamacpp-especially-for-nvidia-with-16gb-vram.html" rel="alternate" type="text/html"/>
    <id>/posts/qwen-27b-iq4-ks-for-ik-llamacpp-especially-for-nvidia-with-16gb-vram.html</id>
    <published>2026-05-23T14:04:00Z</published>
    <updated>2026-05-23T14:04:00Z</updated>
    <author><name>u/Pablo_the_brave</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">Hi everyone,

I&#39;m presenting a new quantization of the Qwen-27B model, created specifically with 16GB VRAM NVIDIA GPUs in mind. I used quants that, unfortunately, are not yet available in the main ups</summary>
    
  </entry>
  
  <entry>
    <title>Qwen3.6-27B on RTX 3090: tested 12 GGUF quants across HumanEval+, MBPP+, perplexity, throughput and needle-in-haystack. First-timer results.</title>
    <link href="/posts/qwen36-27b-on-rtx-3090-tested-12-gguf-quants-across-humaneval-mbpp-perplexity-throughput-and-needle-in-haystack-first-timer-results.html" rel="alternate" type="text/html"/>
    <id>/posts/qwen36-27b-on-rtx-3090-tested-12-gguf-quants-across-humaneval-mbpp-perplexity-throughput-and-needle-in-haystack-first-timer-results.html</id>
    <published>2026-05-23T14:04:00Z</published>
    <updated>2026-05-23T14:04:00Z</updated>
    <author><name>u/Acemang_Jedi</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">## Disclaimer first

I&#39;m new to local LLMs — this was my first serious attempt at benchmarking and I&#39;m posting the results in the hope they&#39;re useful to others, not because I&#39;m claiming any expertise.</summary>
    
  </entry>
  
  <entry>
    <title>NousResearch /hermes-agent</title>
    <link href="/posts/nousresearch-hermes-agent.html" rel="alternate" type="text/html"/>
    <id>/posts/nousresearch-hermes-agent.html</id>
    <published>2026-05-23T11:40:29Z</published>
    <updated>2026-05-23T11:40:29Z</updated>
    <author><name>NousResearch</name></author>
    <source>github-trending/python</source>
    
    <summary type="text">NousResearch Hermes Agent Introducing Hermes Agent: A Scalable and Adaptive AI Agent Framework NousResearch has released Hermes Agent, a novel framework designed to function as an intelligent agent that dynamically evolv…</summary>
    
  </entry>
  
  <entry>
    <title>rohitg00 /ai-engineering-from-scratch</title>
    <link href="/posts/rohitg00-ai-engineering-from-scratch.html" rel="alternate" type="text/html"/>
    <id>/posts/rohitg00-ai-engineering-from-scratch.html</id>
    <published>2026-05-23T11:40:29Z</published>
    <updated>2026-05-23T11:40:29Z</updated>
    <author><name>rohitg00</name></author>
    <source>github-trending/python</source>
    
    <summary type="text">AI Engineering From Scratch Repository Analysis Comprehensive AI Engineering: A Hands-On Learning Pathway from Scratch This repository, &#39;ai-engineering-from-scratch,&#39; provides a structured guide and practical resources d…</summary>
    
  </entry>
  
  <entry>
    <title>anthropics /claude-plugins-official</title>
    <link href="/posts/anthropics-claude-plugins-official.html" rel="alternate" type="text/html"/>
    <id>/posts/anthropics-claude-plugins-official.html</id>
    <published>2026-05-23T11:40:29Z</published>
    <updated>2026-05-23T11:40:29Z</updated>
    <author><name>anthropics</name></author>
    <source>github-trending/python</source>
    
    <summary type="text">Official Directory of High-Quality Claude Code Plugins by Anthropic Anthropic has released the official repository, dedicated to curating and managing a directory of high-quality Claude Code Plugins, standardizing the ec…</summary>
    
  </entry>
  
  <entry>
    <title>G4-MeroMero-26B-A4B-it-uncensored-heretic Is Out Now, a Finetune of gemma-4-26B-A4B-it, With KLD of 0.0152 and 12/100 Refusals!</title>
    <link href="/posts/g4-meromero-26b-a4b-it-uncensored-heretic-is-out-now-a-finetune-of-gemma-4-26b-a4b-it-with-kld-of-00152-and-12100-refusals.html" rel="alternate" type="text/html"/>
    <id>/posts/g4-meromero-26b-a4b-it-uncensored-heretic-is-out-now-a-finetune-of-gemma-4-26b-a4b-it-with-kld-of-00152-and-12100-refusals.html</id>
    <published>2026-05-23T11:40:29Z</published>
    <updated>2026-05-23T11:40:29Z</updated>
    <author><name>u/LLMFan46</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">G4-MeroMero-26B-A4B-it-uncensored-heretic: A Low-Refusal Finetune of Gemma-4-26B The model community has received G4-MeroMero-26B-A4B-it-uncensored-heretic, a newly released finetuned derivative of gemma-4-26B-A4B-it. Th…</summary>
    
  </entry>
  
  <entry>
    <title>Finally 100% Local</title>
    <link href="/posts/finally-100-local.html" rel="alternate" type="text/html"/>
    <id>/posts/finally-100-local.html</id>
    <published>2026-05-23T11:40:29Z</published>
    <updated>2026-05-23T11:40:29Z</updated>
    <author><name>u/koalfied-coder</name></author>
    <source>reddit/r/localllm</source>
    
    <summary type="text">Achieving Full Local Inference for Automated AI Workflows A recent report details the successful transition of complex automated workflows and code generation tasks to run entirely on local hardware, demonstrating the gr…</summary>
    
  </entry>
  
  <entry>
    <title>NVIDIA Removes Gaming Revenue Category From Financial Reports</title>
    <link href="/posts/nvidia-removes-gaming-revenue-category-from-financial-reports.html" rel="alternate" type="text/html"/>
    <id>/posts/nvidia-removes-gaming-revenue-category-from-financial-reports.html</id>
    <published>2026-05-23T11:40:29Z</published>
    <updated>2026-05-23T11:40:29Z</updated>
    <author><name>u/HumanDrone8721</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">NVIDIA Financial Reporting Restructuring NVIDIA Restructures Financial Reporting: Removal of Dedicated Gaming Revenue Category NVIDIA is undergoing a shift in its financial reporting structure, removing the dedicated rev…</summary>
    
  </entry>
  
  <entry>
    <title>BeeLlama v0.2.0 – major DFlash update. Single RTX 3090: Qwen 3.6 27B up to 164 tps (4.40x), Gemma 4 31B up to 177.8 tps (4.93x). Prompt processing speed near baseline.</title>
    <link href="/posts/beellama-v020-major-dflash-update-single-rtx-3090-qwen-36-27b-up-to-164-tps-440x-gemma-4-31b-up-to-1778-tps-493x-prompt-processing-speed-near-baseline.html" rel="alternate" type="text/html"/>
    <id>/posts/beellama-v020-major-dflash-update-single-rtx-3090-qwen-36-27b-up-to-164-tps-440x-gemma-4-31b-up-to-1778-tps-493x-prompt-processing-speed-near-baseline.html</id>
    <published>2026-05-23T11:40:29Z</published>
    <updated>2026-05-23T11:40:29Z</updated>
    <author><name>u/Anbeeld</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">BeeLlama v0.2.0 Unveiled: Massive DFlash Optimization Drives 4.4x+ Acceleration on Local LLMs BeeLlama v0.2.0 introduces a major DFlash update, significantly boosting inference efficiency for large language models (LLMs)…</summary>
    
  </entry>
  
  <entry>
    <title>DeepSeek is pushing forward with $10.29 billion financing round, with Liang Wenfeng committing to continue developing open-source AI models rather than pursuing short-term commercialization goals</title>
    <link href="/posts/deepseek-is-pushing-forward-with-1029-billion-financing-round-with-liang-wenfeng-committing-to-continue-developing-open-source-ai-models-rather-than-pursuing-short-term-commercialization-goals.html" rel="alternate" type="text/html"/>
    <id>/posts/deepseek-is-pushing-forward-with-1029-billion-financing-round-with-liang-wenfeng-committing-to-continue-developing-open-source-ai-models-rather-than-pursuing-short-term-commercialization-goals.html</id>
    <published>2026-05-23T11:40:29Z</published>
    <updated>2026-05-23T11:40:29Z</updated>
    <author><name>u/External_Mood4719</name></author>
    <source>reddit/r/localllama</source>
    
    <summary type="text">DeepSeek Advances $10.29 Billion Financing Round, Committing to Open-Source AGI Development DeepSeek has announced the advancement of a substantial $10.29 billion financing round. Crucially, founder Liang Wenfeng has dec…</summary>
    
  </entry>
  
  <entry>
    <title>Gemini 3.5 Flash</title>
    <link href="/posts/gemini-35-flash.html" rel="alternate" type="text/html"/>
    <id>/posts/gemini-35-flash.html</id>
    <published>2026-05-23T11:40:29Z</published>
    <updated>2026-05-23T11:40:29Z</updated>
    <author><name>u/spectraldrift</name></author>
    <source>hackernews</source>
    
    <summary type="text">Analysis of Gemini 3.5 Flash: Efficiency and Scalability in Next-Generation LLMs Google has introduced Gemini 3.5 Flash, signaling a significant advancement in lightweight, high-speed Large Language Models (LLMs). While …</summary>
    
  </entry>
  
</feed>