Can a Local LLM REALLY be your daily coder? Framework Desktop with GLM 4.5 Air and Qwen 3 Coder

With the arrival of my new Framework Desktop I decided to move to coding just with Local LLM's without touching any Claude, GPT5, etc models. I learned a lot while running GLM 4.5 Air, Qwen 3 Coder, GPT OSS 120b, and ultimately I think I landed in a good spot. Links: πŸ§‘β€πŸ’»My Recommended AI Engineer course is Scrimba: https://scrimba.com/the-ai-engineer-path-c02v?via=GosuCoder My Links πŸ”— πŸ‘‰πŸ» Subscribe: https://www.youtube.com/@GosuCoder πŸ‘‰πŸ» Twitter/X: https://x.com/GosuCoder πŸ‘‰πŸ» LinkedIn: https://www.linkedin.com/in/adamwilliamlarson/ πŸ‘‰πŸ» Discord: https://discord.gg/YGS4AJ2MxA My computer specs GPU: RTX 5090 (sometimes a AMD 7900xtx) CPU: 7800x3d RAM: DDR5 6000Mhz Media/Sponsorship Inquiries βœ… gosucoderyt@gmail.com

Channel: GosuCoderβ€’Generated by anonymousβ€’Duration: 17mβ€’Published Aug 27, 2025
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Video Chapters

Original Output

0:00 Kickstarting the Local LLM Revolution: Say Goodbye to Cloud Costs!
0:30 Unveiling the Powerhouse: The Framework Desktop's AI Muscle
1:45 Putting Models to the Test: Real-World Benchmarks Revealed
3:20 Optimizing for Peak Performance: Essential Settings for Speed & Memory
6:30 The Early Struggles: Battling Repetitive Code Generation
7:55 Facing the Frustration: Long Prompts & Persistent Timeouts
9:45 A Game-Changer Arrives: Solving Timeouts with Crush
11:25 Exploring New Horizons: Jan AI's Creative UI Insights
15:15 The Ultimate Strategy: Smart Models & Swift Agents Working Together
16:00 Finding the Perfect Balance: Matching Model Speed to Task Size

Timestamps by StampBot πŸ€–