#Qwen
923 related articles
·2 min
Running Qwen 122B on 8GB VRAM: A Complete Guide to Quantized Local Deployment
A Bilibili creator ran Qwen 122B with 256K context on just 8GB VRAM + 64GB RAM using llama.cpp. Full breakdown of quantization, deployment params, performance, and cost-effective alternatives.
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·3 min
Qwen3.5 Uncensored Version Local Deployment: Run a 35B Model on Just 6GB VRAM
Run Qwen3 35B-A3B uncensored locally on just 6GB VRAM using llama.cpp and GGUF quantization. Full deployment guide, code generation tests, and Agent integration walkthrough.
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·4 min
Running Qwen3.6 27B Locally on a Single RTX 3090: A Complete Guide to Cloud-Rivaling Performance
One used RTX 3090, one 16.8GB GGUF file, and Qwen3.6 27B runs locally offline. SWE-bench score of 77 rivals Claude Sonnet. MTP boosts speed to 59 tok/s. Full local AI coding assistant deployment guide.
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How Fixing Three Bugs Made Qwen3.5-122…
·3 min
How Fixing Three Bugs Made Qwen3.5-122B Run Reliably on Mac Studio
A developer fixed three critical bugs to make Qwen3.5-122B run reliably as a daily driver on Mac Studio. Explore memory management, inference stability, and quantization precision.
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·4 min
Unsloth Releases Qwen3.6 NVFP4 Quantization: 2.5x Faster with Zero Accuracy Loss
Unsloth releases NVFP4 quantization for Qwen3.6 using W4A4 true 4-bit Tensor Core computation, delivering up to 2.5x inference speedup over NVIDIA's official implementation with accuracy matching or exceeding BF16 on benchmarks like MMLU-Pro.
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·6 min
Why Is Qwen3 27B So Slow on a 4090? A Hands-On Guide to Local Inference Performance Optimization
RTX 4090 taking over 400 seconds to run Qwen3 27B inference? This article analyzes the core causes—VRAM overflow and CPU offloading drag—and offers targeted fixes.
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·6 min
Doubao and Qwen Retire AI Agents: How Compute Costs Are Reshaping AI's Commercial Boundaries
Doubao and Qwen have retired their AI Agent features. The real reason isn't regulation—it's that companion-chat users don't pay, making compute costs unrecoverable. A deep dive into AI's cost dilemma.
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·3 min
16GB VRAM Showdown: Ornith 35B vs Qwen 35B — Full Benchmark Comparison
Ornith 35B vs Qwen 3.6 35B on 16GB VRAM: 24+ hours of benchmarks covering inference speed, 256K context, tool calling, HumanEval, and real coding challenges.
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·3 min
Deploy a Free AI Agent Locally: Build an All-in-One Assistant with Qwen 3.5 + Hormis
Learn how to deploy a free AI agent locally using Ollama + Qwen 3.5-9B + Hormis framework, enabling web scraping, desktop control, and file management on consumer hardware.
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·3 min
Qwen3.6 Unofficial Derivative Models: 34B Depth Extension and 14B Extreme Compression Explained
Deep analysis of two Qwen3.6 community derivatives: 27B extended to 34B with 80 layers for better reasoning and distillation, and 35B MoE compressed to 14B for 8GB GPU local deployment.
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·3 min
Building an AI Stock Analysis System with Qwen3 + Dify: A Hands-On Tutorial
A hands-on guide to building a real-time AI stock analysis system using Dify workflows and Qwen3. Covers deployment, technical indicators (RSI/MACD/Bollinger Bands), and trading strategy generation.
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·3 min
Fireworks AI Launches Qwen 3.7 Plus: Zero Data Retention and 99.9% SLA for Enterprise Deployment
Fireworks AI launches Qwen 3.7 Plus with latency/throughput optimization, zero data retention, and 99.9% SLA enterprise guarantees. Explore the full-stack deployment solution for commercial open-source model inference.
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·2 min
Qwen3-Coder Deep Dive: A Coding Model Built for Long-Horizon Agent Loops
Deep dive into Qwen3-Coder: 11 hours continuous operation, 10K+ lines of code, 1000+ calls. Explore its long-horizon agent loop architecture, reasoning persistence, thinking mode switching, and deployment on Fireworks.
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Tutorials·2 min
Qwen3 Free Coding in Practice: Building Full-Stack Apps with Cline
A hands-on guide to using Qwen3 for free via OpenRouter API and Ollama local deployment, paired with Cline coding agent for full-stack development tasks.
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Tutorials·3 min
Getting Started with SwiftUI: Building Your First iOS Habit Tracker App with Qwen and ChatGPT
Hands-on SwiftUI tutorial using Qwen3-Max and ChatGPT to generate an iOS habit tracker app. Covers Xcode setup, AI code generation pitfalls (Combine import issue), and debugging tips for beginners.
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Tutorials·4 min
Practical Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Step-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
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Product Reviews·3 min
Qwen Code 2.0 Update Analysis: Plan Mode and Visual Intelligence in Practice
Deep analysis of Qwen Code 2.0 updates covering Plan Mode approval mechanism, Visual Intelligence auto-switching, Zed editor dual authentication, and Windows fixes for this CLI coding assistant.
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Tutorials·4 min
Complete Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Complete guide to building a local AI knowledge base with Qwen3.5, RAGFlow, and Ollama, covering Docker deployment, Embedding model configuration, knowledge base creation, and RAG system setup.
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Tutorials·3 min
oMLX + MTP + Qwen3.6: Local AI Coding Speed Breaks New Records
Using oMLX with MTP and Qwen3.6 35B on Apple Silicon Mac to achieve 86.7 tokens/s local coding speed, building a full-stack app in under 5 minutes.
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Product Reviews·3 min
Deep Dive into Qwen3.7 Max: One-Tenth the Cost of GPT, Purpose-Built for AI Agents
Alibaba's Qwen3.7 Max targets AI agents with coding tasks at just $1.30 (one-tenth of GPT-5), supporting 35 hours of continuous execution. Deep analysis of its cost advantages, front-end capabilities, and three key limitations.
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