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+74504
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‎src/App.tsx‎

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@@ -1884,6 +1884,40 @@ import { LazyPage1m6uq8q } from './page/1m6uq8q/LazyPage';
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import { LazyPage1m6v9yq } from './page/1m6v9yq/LazyPage';
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import { LazyPage1m6vbds } from './page/1m6vbds/LazyPage';
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import { LazyPage1m6vj8o } from './page/1m6vj8o/LazyPage';
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import { LazyPage1m6wb5o } from './page/1m6wb5o/LazyPage';
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import { LazyPage1m6wgs7 } from './page/1m6wgs7/LazyPage';
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import { LazyPage1m6wq77 } from './page/1m6wq77/LazyPage';
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import { LazyPage1m6xbru } from './page/1m6xbru/LazyPage';
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import { LazyPage1m6xbs7 } from './page/1m6xbs7/LazyPage';
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import { LazyPage1m6xhgg } from './page/1m6xhgg/LazyPage';
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import { LazyPage1m6xrfj } from './page/1m6xrfj/LazyPage';
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import { LazyPage1m6xt2d } from './page/1m6xt2d/LazyPage';
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import { LazyPage1m6y6c7 } from './page/1m6y6c7/LazyPage';
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import { LazyPage1m6zce0 } from './page/1m6zce0/LazyPage';
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import { LazyPage1m6zdx4 } from './page/1m6zdx4/LazyPage';
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import { LazyPage1m6zkmm } from './page/1m6zkmm/LazyPage';
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import { LazyPage1m6ztb2 } from './page/1m6ztb2/LazyPage';
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import { LazyPage1m6zz1v } from './page/1m6zz1v/LazyPage';
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import { LazyPage1m704yl } from './page/1m704yl/LazyPage';
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import { LazyPage1m70n7q } from './page/1m70n7q/LazyPage';
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import { LazyPage1m70ra1 } from './page/1m70ra1/LazyPage';
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import { LazyPage1m71f20 } from './page/1m71f20/LazyPage';
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import { LazyPage1m71oqv } from './page/1m71oqv/LazyPage';
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import { LazyPage1m72d5y } from './page/1m72d5y/LazyPage';
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import { LazyPage1m73n0t } from './page/1m73n0t/LazyPage';
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import { LazyPage1m73ohk } from './page/1m73ohk/LazyPage';
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import { LazyPage1m73q8n } from './page/1m73q8n/LazyPage';
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import { LazyPage1m73yrb } from './page/1m73yrb/LazyPage';
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import { LazyPage1m741so } from './page/1m741so/LazyPage';
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import { LazyPage1m74b87 } from './page/1m74b87/LazyPage';
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import { LazyPage1m7503r } from './page/1m7503r/LazyPage';
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import { LazyPage1m75afx } from './page/1m75afx/LazyPage';
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import { LazyPage1m75bwe } from './page/1m75bwe/LazyPage';
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import { LazyPage1m75i0b } from './page/1m75i0b/LazyPage';
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import { LazyPage1m760rq } from './page/1m760rq/LazyPage';
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import { LazyPage1m76df6 } from './page/1m76df6/LazyPage';
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import { LazyPage1m775h2 } from './page/1m775h2/LazyPage';
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import { LazyPage1m77az5 } from './page/1m77az5/LazyPage';
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const App = () => (
@@ -3761,6 +3795,40 @@ const App = () => (
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<Route path="/1m6v9yq" element={<LazyPage1m6v9yq />} />
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<Route path="/1m6vbds" element={<LazyPage1m6vbds />} />
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<Route path="/1m6vj8o" element={<LazyPage1m6vj8o />} />
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<Route path="/1m6wb5o" element={<LazyPage1m6wb5o />} />
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<Route path="/1m6wgs7" element={<LazyPage1m6wgs7 />} />
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<Route path="/1m6wq77" element={<LazyPage1m6wq77 />} />
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<Route path="/1m6xbru" element={<LazyPage1m6xbru />} />
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<Route path="/1m6xbs7" element={<LazyPage1m6xbs7 />} />
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<Route path="/1m6xhgg" element={<LazyPage1m6xhgg />} />
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<Route path="/1m6xrfj" element={<LazyPage1m6xrfj />} />
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<Route path="/1m6xt2d" element={<LazyPage1m6xt2d />} />
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<Route path="/1m6y6c7" element={<LazyPage1m6y6c7 />} />
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<Route path="/1m6zce0" element={<LazyPage1m6zce0 />} />
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<Route path="/1m6zdx4" element={<LazyPage1m6zdx4 />} />
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<Route path="/1m6zkmm" element={<LazyPage1m6zkmm />} />
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<Route path="/1m6ztb2" element={<LazyPage1m6ztb2 />} />
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<Route path="/1m6zz1v" element={<LazyPage1m6zz1v />} />
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<Route path="/1m704yl" element={<LazyPage1m704yl />} />
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<Route path="/1m70n7q" element={<LazyPage1m70n7q />} />
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<Route path="/1m70ra1" element={<LazyPage1m70ra1 />} />
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<Route path="/1m71f20" element={<LazyPage1m71f20 />} />
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<Route path="/1m71oqv" element={<LazyPage1m71oqv />} />
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<Route path="/1m72d5y" element={<LazyPage1m72d5y />} />
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<Route path="/1m73n0t" element={<LazyPage1m73n0t />} />
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<Route path="/1m73ohk" element={<LazyPage1m73ohk />} />
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<Route path="/1m73q8n" element={<LazyPage1m73q8n />} />
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<Route path="/1m73yrb" element={<LazyPage1m73yrb />} />
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<Route path="/1m741so" element={<LazyPage1m741so />} />
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<Route path="/1m74b87" element={<LazyPage1m74b87 />} />
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<Route path="/1m7503r" element={<LazyPage1m7503r />} />
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<Route path="/1m75afx" element={<LazyPage1m75afx />} />
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<Route path="/1m75bwe" element={<LazyPage1m75bwe />} />
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<Route path="/1m75i0b" element={<LazyPage1m75i0b />} />
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<Route path="/1m760rq" element={<LazyPage1m760rq />} />
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<Route path="/1m76df6" element={<LazyPage1m76df6 />} />
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<Route path="/1m775h2" element={<LazyPage1m775h2 />} />
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<Route path="/1m77az5" element={<LazyPage1m77az5 />} />
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<Route path="*" element={<Navigate to="/landing" replace />} />
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</Routes>
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</CustomLayout>

‎src/layout/CustomLayout.tsx‎

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@@ -7492,6 +7492,142 @@ const defaultMenus: MenuDataItem[] = [
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path: '/1m6vj8o',
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name: 'How are people staging AI training datasets from NVMe → DDR5 → GPU VRAM for fine-tuning on RTX 5090s?',
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},
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{
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path: '/1m6wb5o',
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name: 'Recent Qwen Benchmark Scores are Questionable',
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},
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{
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path: '/1m6wgs7',
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name: 'Qwen3-Coder Unsloth dynamic GGUFs',
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},
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{
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path: '/1m6wq77',
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name: 'Added Qwen3-Coder to my VsCode extension',
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},
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{
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path: '/1m6xbru',
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name: 'How does Gemini 2.5 Pro natively support 1M tokens of context? Is it using YaRN, or some kind of disguised chunking?',
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},
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{
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path: '/1m6xbs7',
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name: 'I\'m looking for an Uncensored LLM to produce extremely spicy prompts - What would you recommend?',
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},
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{
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path: '/1m6xhgg',
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name: 'How to play a character as user with Tavern, Kobold, llama 3.2b?',
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},
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{
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path: '/1m6xrfj',
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name: 'Injecting custom embeddings into LLaMA 3.2 GGUF model',
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},
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{
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path: '/1m6xt2d',
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name: 'How to prevent bad/illegal word queries',
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},
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{
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path: '/1m6y6c7',
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name: 'Is it just me or does building local multi-agent LLM systems kind of suck right now?',
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},
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{
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path: '/1m6zce0',
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name: '[Research] Thought Anchors: Understanding How Qwen3-0.6B vs DeepSeek-R1-Distill-1.5B Actually Reason - Different Cognitive Architectures Revealed',
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},
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{
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path: '/1m6zdx4',
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name: 'Consumer usecase for on-device AI - an Android app to detect scams',
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},
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{
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path: '/1m6zkmm',
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name: '[Github Repo] - Use Qwen3 coder or any other LLM provider with Claude Code',
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},
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{
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path: '/1m6ztb2',
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name: 'UI/UX benchmark update 7/22: Newest Qwen models added, Qwen3 takes the lead in terms of win rate (though still early)',
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},
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{
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path: '/1m6zz1v',
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name: 'Kimi K2 vs Qwen3 Coder 480B',
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},
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{
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path: '/1m704yl',
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name: 'Noob: In theory what set up would you need to run the best LLMs locally at the same speed as the public LLM?',
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},
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{
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path: '/1m70n7q',
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name: 'Alibaba’s upgraded Qwen3 235B-A22B 2507 is now the most intelligent non-reasoning model.',
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},
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{
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path: '/1m70ra1',
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name: 'MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models',
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},
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{
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path: '/1m71f20',
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name: 'unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF · Hugging Face',
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},
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{
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path: '/1m71oqv',
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name: 'How do you solve this dilemma?',
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},
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{
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path: '/1m72d5y',
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name: '🔓 I built Hearth-UI — A fully-featured desktop app for chatting with local LLMs (Ollama-ready, attachments, themes, markdown, and more)',
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},
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{
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path: '/1m73n0t',
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name: 'Anyone seen safety regressions after fine-tuning LLaMA or Mistral on clean data?',
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},
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{
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path: '/1m73ohk',
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name: 'Has anyone noticed that the gemma3n model doesn\'t look like a gemma, but more like a gemini mini?',
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},
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{
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path: '/1m73q8n',
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name: 'Need Help - Local LLM &amp; Lots of Files! (Privacy Concerns)',
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},
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{
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path: '/1m73yrb',
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name: 'Qwen 3 Coder is actually pretty decent in my testing',
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},
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{
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path: '/1m741so',
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name: 'What do you do to keep up to date on new research, trends and more?',
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},
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{
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path: '/1m74b87',
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name: 'Qwen3-Coder is VERY expensive maybe one day You can run it locally.',
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},
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{
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path: '/1m7503r',
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name: 'Why do many papers skip hyperparameter search?',
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},
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{
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path: '/1m75afx',
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name: 'Get your hands on Nvidia GB200 NVL72 for free!',
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},
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{
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path: '/1m75bwe',
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name: 'Llama?',
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},
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{
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path: '/1m75i0b',
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name: 'Getting a model run with vLLM and 7900 XTX',
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},
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{
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path: '/1m760rq',
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name: 'ADHD &amp; LLM development is a risky cocktail',
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},
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{
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path: '/1m76df6',
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name: 'What do new architectures offer and what are their limits?',
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},
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{
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path: '/1m775h2',
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name: 'Building a p2p inference engine in rust and hugging face',
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},
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{
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path: '/1m77az5',
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name: 'Which quantization approach is the way to go? (llama.cpp)',
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},
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],
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},
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{

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