This 27B Model Beats DeepSeek & Gemini Locally?! (Qwen 3.5 Review) скачать в хорошем качестве

This 27B Model Beats DeepSeek & Gemini Locally?! (Qwen 3.5 Review)

Is Qwen 3.5 27B the new king of local AI? 🤖 In this video, we dive deep into the Qwen 3.5 27B model running locally on consumer hardware. Despite being the smallest in its family, this dense 27-billion parameter model is punching way above its weight class, competing with massive models like DeepSeek V3 and Gemini Flash on benchmarks. We’ll cover the full setup process using LM Studio, configure the best parameters for performance, and put it through rigorous live tests including SVG generation, vision analysis, and agentic coding tasks. Plus, I compare it directly against Gemma 2 27B and GLM 4.7 Flash to see if the hype is real. 🔥 In this video: ✅ Qwen 3.5 27B Benchmarks & Intelligence Index ✅ How to download & run on LM Studio (Step-by-Step) ✅ Vision & OCR capabilities test ✅ Live Coding & SVG Generation (Butterfly, Duck, Web OS) ✅ Comparison: Qwen 3.5 vs Gemma 3 ✅ Privacy benefits of running AI locally 📥 Resources & Links: LM Studio: [Insert Link] Qwen 3.5 on Hugging Face: [Insert Link] Artificial Analysis Benchmarks: [Insert Link] Open Web UI: [Insert Link] ⏱️ Timestamps: 0:00 - Intro: Qwen 3.5 27B Overview 1:22 - Model Highlights & Architecture 5:44 - How to Download (Quantization Explained) 9:12 - LM Studio Setup & Configuration 13:37 - Sampler Settings (Temperature, Top K, Min P) 16:49 - Vision & OCR Capabilities Test 19:27 - Coding Test: SVG Generation (Butterfly & Duck) 20:36 - Interactive Web OS Challenge 23:40 - 3D Voxel Rendering Test 32:29 - Comparison: Qwen 3.5 vs Gemma 3 & 40:30 - Final Verdict & Conclusion 💬 Let me know in the comments: Are you running local LLMs for privacy or performance? Have you tried Qwen 3.5 yet? #Qwen3.5 #LocalAI #LLM #LMStudio #ArtificialIntelligence #CodingAI #TechReviewOpenSource #RunAILocally #Qwen #AIPrivacy #RTX3090